Predictive Control in Power Electronics and Electrical Drives. Ralph M. Kennel, Technische Universitaet Muenchen, Germany
|
|
|
- Alberta Baker
- 5 years ago
- Views:
Transcription
1 Predictive Control in Power Electronics and Electrical Drives Ralph M. Kennel, Technische Universitaet Muenchen, Germany
2 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
3 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
4 State of the Art : Field Oriented Control r mains field coordinates stator coordinates flux controller i s e j u s PWM 6 speed controller current controllers e -j i s u s r model M 3~ encoder
5 Problems of Linear Algorithms Linear control characteristics Control unit and controlled unit are assumed to be linear Control unit are assumed to be time constant Linear circuits show identical reactions in each operation range under the same reference commands Drive systems characteristics Drive systems are non-linear Drive systems are time-variant The behavior of a drive system is depending on the operation range
6 Typical Cascaded Structure of Drive Control position controller speed controller current controller power electronics motor windings I inertia gear etc.
7 Problems of Linear Algorithms in cascaded control structures speed control must be much faster than position control and current control must be much faster than speed control current control must be very fast to achieve position control with reasonable cycle times in the controlled system (drive, converter, ) however, there is no time constant justifying cycle times of 100 µs or less
8 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
9 General Structure of a Predictive Controller prediction and calculation switching state actual machine state power electronics machine and power electronics model motor windings I inertia gear etc. reminds slightly to state control state control, however, is basically a linear control predictive control is not!!!
10 Usual Structure of Drive Control why PWM? linearization of the inverter consequences? very high switching frequency DC link PI controller
11 Structure of a Direct Control DC link direct controller
12 Principle of Predictive Control reference commands precalculation of the behaviour for each of the switching states comparison between precalculation and reference commands next switching state or switching time can be fixed definite number of equivalent circuits without switching elements definite number of switching states definite number of switching elements inverter
13 Family tree of predictive control algorithms hysteresisbasedstrategies strategies trajectorybasedstrategies strategies adaptive switching pattern (ASP) (Nagy) predictive current control (Holtz/Stadtfeld) hysteresis control (bang bang) GPC GPC (Clarke) Off-line MPC (Bemporad et.al) other MBPC schemes direct torque control (DTC) (Takahashi/Nogushi) (Tiitinen/Lalu) direct self control (DSC) (Depenbrock) direct direct torque mean torque integral control (DTC) space-vector PWM (Chapuis, et.al.) (Trzynadlowski, et.al.) direct control fast-response current control torque adaptive (DMTC) self-tuning control switching (DTC) multilevel direct speed PROMC hysteresis DTC control (DSPC) current control (Purcell/Acarnley) (Takahashi/Nogushi) (Flach, direct predictive pattern et.al.) self (Choi/Sul) on-off current control control (ASP) control (Mutschler) (Kohlmeier et.al.) space (Hoffmann) (Holtz, (DSC) vector et.al) direct mean torque direct self PROMC control (DMTC) (Depenbrock) current torque (Tiitinen/Lalu) sliding control (Nagy) pulsation mode control control (DSC) voltage control (Flach, et.al.) control (Bonanno, et.al.) (Hintze) torque (Holtz/Stadtfeld) reduced pulsation (Kazmierkowski, DTDTC (Emeljanov) DTC reduced DTC direct torque et.al.) (Maes/Melkebeek) predictive (Vas, et.al.) (Vas, et.al.) integral control new control (Kennel/Schröder) direct space-vector PROMC space vector torque control adaptive (DTC) and PWM control (Kang/Sul) (Chapuis, (Kazmierkowski, et.al.) (Trzynadlowski, current optimal DTC-SVM new optimized et.al.) control on-line-tuning direct regulator DTC with reduction adaptive and of torque (Kohlmeier (Lascu direct torque et.al.) current ripple et.al.) control direct et.al.) control optimized regulator (La/Shin/Hyun) improved multilevel current (Ackva, regulator direct control et.al.) (Ackva, et.al.) (Kang/Sul) speed of IM currents DTC + dithering space vector (Noguchi, et.al.) hysteresis (du Toit PROMC control space (Pfaff/Wick) DTC-DSVM Mouton/Enslin) vectorial torque control predictive control control GPC (DSPC) vector (Mayer/Pfaff) DTDTC (Wuest/Jenni) (Maes/Melkebeek) (Purcell/Acarnley) voltage (Casadei DTC with control control et.al) reduction (Attaianese, et.al.) (Warmer (Mutschler) et.al.) (Clarke) direct current DTC-SVM predictive current of control (Lascu et.al.) (Hintze) torque current controlripple (Pfaff/Wick) digital new DTC with (Wuest/Jenni) DTC-DSVM for predictive direct Off-line method ORS (La/Shin/Hyun) self MPC resonant direct link digital inverter predictive current control (Casadei et.al) method current controller sliding mode control DTC with hysteresis current (Moucary (Bemporad ORS (Salama control control et.al.) (DSC) et.al) current et.al) controller (Salama et.al) (Emeljanov) (Moucary DTC et.al.) + dithering (Oh/Jung/Youn) self-tuning (Betz/Cook/Henriksen) DTC-PPWC (bang DTC-PPWC (Hecht) (Bonanno, bang) (Holmes/Martin) et.al.) trajectory on-off control (Nillesen (Noguchi, et.al.) et.al.) optimal on-line-tuning digital (Hoffmann) other current regulator current controller (Nillesen MBPC schemes et.al.) tracking control (du Toit Mouton/Enslin) (Betz/Cook/Henriksen) vectorial torque control (Holtz/Beyer) model basedstrategies (Attaianese, et.al.) (longrangepredictivecontrol) model based strategies predictive current control for resonant link inverter (Oh/Jung/Youn) fast-response current control (Holtz, et.al) predictive control (Kennel/Schröder) improved predictive control (Warmer et.al.) new predictive current control (Hecht) current control (Choi/Sul) direct control of IM currents (Mayer/Pfaff) direct digital predictive current controller (Holmes/Martin) trajectory tracking control (Holtz/Beyer)
14 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
15 Trajectory Based Predictive Control Strategies system states are forced to follow (pre-)defined natural reference trajectories difference to sliding mode control there the trajectories are not natural
16 Example : Trajectory Based Predictive Control Direct Speed Control acc. to Mutschler * e model and prediction u k i s = ~ u d u s e / a k+1 k+1 S k+1 S k Hy e / a k+3 k+3 a = +Hy M 3~ e / a k k S k+2 e / a k+2 k+2 e = ref
17 Characteristics of Trajectory Based Predictive Control system states are forced to follow (pre-)defined reference trajectories switching takes place at intersections between different system-trajectories or at (pre-)defined instants switching frequency of the inverter can be fixed to a constant value control behaviour comparable to feedforward control exact knowledge of system parameters is required appropriate for realisation by digital circuits or controllers
18 Example : Trajectory Based Predictive Control Direct Self Control (DSC) acc. to Depenbrock
19 Example : Hysteresis Based Predictive Control Direct Self Control acc. to Takahashi
20 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
21 Hysteresis Based Predictive Control Strategies switching of inverter takes place at the (multi-dimensional) border(s) of a hysteresis area
22 Example : Hysteresis Based Predictive Control Predictive Current Control acc. to Holtz
23 Example : Hysteresis Based Predictive Control Predictive Current Control acc. to Holtz i s * i s i s u sk predict model u k di sk dt = u d ~ u s jim s i s * di n dt i s M 3~ 0 i s Re
24 Characteristics of Hysteresis Based Predictive Control switching takes place at borders of a hysteresis area a maximum error can be (pre-)defined switching frequency of the inverter is not constant control behaviour comparable to feedback control exact knowledge of system parameters is not required appropriate for realisation by analog circuits
25 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
26 The Human Behaviour of DMPC DMPC is like playing chess the player calculates in advance all possible moves until a prediction horizon the player chooses the move with the best expectations of success after each opponent s move pre-calculation and optimization is repeated
27 Characteristics of Model Based Predictive Control future control values are pre-calculated and optimized until a (pre-)defined horizon the first of the precalculated control values is transmitted to the controlled system only use of non-linear model is possible for non-linear control systems a lot of calculation power is required
28 Calculation Times DMPC - control, implicite solution strategy N p cases max. calculation time complete enumeration µs complete enumeration > 500 µs branch and bound µs branch and bound µs online-optimization is not applicable for drive control processor: 900 MHz AMD Duron, 128 MB RAM Linux with RTAI 1.3
29 Experimental Results (DMPC) current control
30 Experimental Results (DMPC) current control
31 Features of (Longe Range) Predictive Control Advantages possibility to use foreknowledge about drive system inverter limitations and dynamic behaviours are taken into account improved representation of non-linear systems no need for time challenging cascade structure improved dynamic behaviour Disadvantages step-by-step commissioning impossible for industrial use self-commissioning feature is required stationary accuracy and dynamic behaviour depend on accurracy of model parameters
32 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
33 Control task Current control of a three-phase resistive-inductive-active load
34 Heuristic method Peter Stolze Calculation effort rises exponentially with the prediction horizon Three or four prediction steps impossible in real-time (online as well as offline) Cost function to describe the performance to be obtained Basic idea of Heuristic Method : Optimum integer solution of a linear program is close to the continuous-valued solution of the integer problem => Important: Optimum integer solution is not necessarily the integer solution which is closest to the continuous-valued optimum => Not all integer points have to be examined, only the ones closest to the continuous-valued optimum
35 Heuristic method Continuous-valued switching states in the range [0; 1] Determination of the sector in which the continuous-valued optimum lies (I to VI) For the first two prediction steps the three closest integer solutions are used for an exhaustive search (corners of the triangle) For the 3rd and 4th prediction step only the 2 closest integer solutions are used 3 prediction steps: 18 possible combinations 4 prediction steps: 36 possible combinations In more than 95% of the cases the real optimum is still found
36 Simulation Results Sinusoidal references Back EMF voltages R = 10Ω, L = 10mH, Vdc = 540V, T = 100μs
37 Finite-Set Model Predictive Control of a Flying Capacitor Converter with Heuristic Voltage Vector Preselection Peter Stolze
38 Control task Current control of a three-phase resistive-inductive-active load Hysteresis controller for voltage balancing S 11 S 21 S V dc S 12 C 1 i 1 S 22 C 2 i 2 S 32 C 3 i 3 S 13 S 23 S V dc S 14 S 24 S 34 E 1 E 2 E 3 R L R L R L
39 General remarks Im Heuristic voltage vector selection algorithm basically the same as for two-level inverters but now the continuous-valued switching states can be in the range [-1; 1] Re possible sectors
40 Simulation Results Sinusoidal references Flying capacitor voltages R = 10Ω, L = 10mH, Vdc = 540V, T = 100μs, C = 480μF
41 Predictive Control Strategies hysteresis based switching of inverter takes place at the (multi-dimensional) border(s) of a hysteresis area trajectory based system states are forced to follow (pre-)defined reference trajectories model based future control values are pre-calculated and optimized until a (pre-)defined horizon examples hysteresis control (bang-bang control) Direct Torque Control (DTC) examples Direct Self Control Direct Speed Control examples Dynamic Matrix Control Generalized Predictive Control Predictive Control with Heuristic Pre-Selection
42 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
43 Basic Idea: Saliency based Encoderless Predictive Torque Control without Signal Injection P. Landsmann, D. Paulus, P. Stolze and R. Kennel A Predictive Torque Controller neglecting the saliency in the model causes a prediction error containing the angle information. Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
44 Outline 1) Predictive torque control - Topology and Function - Neglection of saliency 2) Saliency tracking approach - Prediction error - Prediction error reconstruction - Phase locked loop scheme 3) Results - Simulations with PMSM - Measurements with RM Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
45 Predictive Torque Control Outer topology: Overview Predictive Torque Control Saliency Tracking Controller input: reference torque Actuating variable: stator voltage Simulation Results Measurements Conclusion Measurement of current and rotor angle required Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
46 Predictive Torque Control Current and PM flux linkage from measurements Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
47 Predictive Torque Control Current and PM flux linkage from measurements 7 voltages vectors from inverter Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
48 Predictive Torque Control Current and PM flux linkage from measurements 7 voltages vectors from inverter prediction of current and respective torque Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
49 Predictive Torque Control Current and PM flux linkage from measurements 7 voltages vectors from inverter prediction of current and respective torque Overview Predictive Torque Control Saliency Tracking Selecting optimum of cost function Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
50 Predictive Torque Control Overview Predictive Torque Control Saliency Tracking Simulation Results Discrete model of the machine Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
51 Predictive Torque Control Overview Predictive Torque Control Saliency Tracking Simulation Results Discrete model of the machine Measurements Current prediction based on mean inverse inductance Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
52 Saliency Tracking Approach Predicted current progression Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
53 Saliency Tracking Approach Predicted current progression Overview Predictive Torque Control Real current progression Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
54 Saliency Tracking Approach Predicted current progression Overview Predictive Torque Control Real current progression Saliency Tracking Prediction error Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
55 Saliency Tracking Approach Measured prediction error Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
56 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
57 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking PLL controller input Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
58 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking PLL controller input Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
59 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking PLL controller input Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
60 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking PLL controller input Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
61 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking PLL controller input Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
62 Saliency Tracking Approach Measured prediction error Overview Reconstructed prediction error Predictive Torque Control Saliency Tracking PLL controller input Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
63 Saliency Tracking Approach Saliency tracking scheme (STS) Overview Predictive Torque Control Saliency Tracking Measured prediction error Reconstructed prediction error Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
64 Simulation Results for PMSM Simulation parameter of PMSM Overview Predictive Torque Control Saliency Tracking Speed controlled encoderless predictive torque control Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
65 Simulation Results for PMSM Speed controlled step response to rated speed very good dynamics in simulation Overview Predictive Torque Control dependency on torque gradients Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
66 Measurements with Reluctance Machine Data of transverse laminated RM Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
67 Measurements with Reluctance Machine Speed controlled step response to 160% rated speed Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
68 Measurements with Reluctance Machine Response to 66% rated torque load step at speed controlled standstill Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
69 Summary Proposed Scheme: Neglect the saliency in PTC equations Prediction error contains angle information Reconstruct Prediction Error using PLL angle Vectorproduct of both is PLL input Benefits: Saliency based: permanent operation at standstill No signal injection: operation at high speed Overview Predictive Torque Control Saliency Tracking Simulation Results Measurements Conclusion Institute for Electrical Drive Systems & Power Electronics Technische Universität München Arcisstr. 21, D Munich - peter.landsmann@tum.de
70 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
71 State of the Art : Field Oriented Control r mains field coordinates stator coordinates flux controller i s e j u s PWM 6 speed controller current controllers e -j i s u s r model M 3~ encoder
72 Typical Cascaded Structure of Drive Control position controller speed controller current controller power electronics motor windings I inertia gear etc.
73 Problems of Linear Algorithms in cascaded control structures speed control must be much faster than position control and current control must be much faster than speed control current control must be very fast to achieve position control with reasonable cycle times in the controlled system (drive, converter, ) however, there is no time constant justifying cycle times of 100 µs or less
74 General Structure of a Predictive Controller prediction and calculation switching state actual machine state power electronics machine and power electronics model motor windings I inertia gear etc.
75 Predictive Control Strategies hysteresis based control behaviour comparable to feedback control exact knowledge of system parameters is not required a maximum error can be (pre-)defined trajectory based control behaviour comparable to feedforward control exact knowledge of system parameters is required appropriate for realisation by digital circuits or controllers model based the past is explicitely considered future control values are pre-calculated and optimized until a (pre-)defined horizon model parameters can be estimated on-line use of non-linear model is possible for non-linear control systems
76 Actual Situation in cascaded control structures speed control must be much faster than position control and current control must be much faster than speed control current control must be extremely fast to achieve position control with reasonable cycle times at the time most requirements in industrial applications are satisfied sufficiently there is no strong need for improvement in industry however at a certain time there will be a demand for improvement with respect to a future increase of requirements investigations should be done
77 Outline Introduction Predictive Control Methods Trajectory Based Predictive Control Hysteresis Based Predictive Control Long-Range Predictive Control Predictive Control with Heuristic Preselection Encoderless Predictive Torque Control (without Signal Injection) Predictive Control versus Cascaded Control Conclusions/Discussion
78 Conclusions/Discussion predictive control strategies offer the possibility to use foreknowledge about the drive system physical limitations and dynamic behaviour of power electronics non-linear systems are represented better (by non-linear models) no need for time challenging cascaded structures the way of thinking is different are taken into account model of the controlled system cost function with respect to a future increase of requirements investigations should be done
79
80 Thank you!
A Direct Torque Controlled Induction Motor with Variable Hysteresis Band
UKSim 2009: th International Conference on Computer Modelling and Simulation A Direct Torque Controlled Induction Motor with Variable Hysteresis Band Kanungo Barada Mohanty Electrical Engineering Department,
SPEED CONTROL OF PMSM BY USING DSVM -DTC TECHNIQUE
SPEED CONTROL OF PMSM BY USING DSVM -DTC TECHNIQUE J Sinivas Rao #1, S Chandra Sekhar *2, T Raghu #3 1 Asst Prof, Dept Of EEE, Anurag Engineering College, AP, INDIA 3 Asst Prof, Dept Of EEE, Anurag Engineering
Sensorless DTC-SVM of Induction Motor by Applying Two Neural Controllers
Sensorless DTC-SVM of Induction Motor by Applying Two Neural Controllers Abdallah Farahat Mahmoud Dept. of Electrical Engineering, Al-Azhar University, Qena, Egypt engabdallah2012@azhar.edu.eg Adel S.
PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR
PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR 1 A.PANDIAN, 2 Dr.R.DHANASEKARAN 1 Associate Professor., Department of Electrical and Electronics Engineering, Angel College of
Simulation of Direct Torque Control of Induction motor using Space Vector Modulation Methodology
International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Simulation of Direct Torque Control of Induction motor using Space Vector Modulation Methodology Arpit S. Bhugul 1, Dr. Archana
COMPARISION BETWEEN TWO LEVEL AND THREE LEVEL INVERTER FOR DIRECT TORQUE CONTROL INDUCTION MOTOR DRIVE
COMPARISION BETWEEN TWO LEVEL AND THREE LEVEL INVERTER FOR DIRECT TORQUE CONTROL INDUCTION MOTOR DRIVE Shailesh B. Kadu 1, Prof. J.G. Choudhari 2 Research Scholar (Department of Electrical Engineering,
DIRECT TORQUE CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING TWO LEVEL INVERTER- SURVEY PAPER
DIRECT TORQUE CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING TWO LEVEL INVERTER- SURVEY PAPER 1 PREETI SINGH, BHUPAL SINGH 1 M.Tech (scholar) Electrical Power & Energy System, lecturer Ajay Kumar
Online Model Predictive Torque Control for Permanent Magnet Synchronous Motors
Online Model Predictive Torque Control for Permanent Magnet Synchronous Motors Gionata Cimini, Daniele Bernardini, Alberto Bemporad and Stephen Levijoki ODYS Srl General Motors Company 2015 IEEE International
Three phase induction motor using direct torque control by Matlab Simulink
Three phase induction motor using direct torque control by Matlab Simulink Arun Kumar Yadav 1, Dr. Vinod Kumar Singh 2 1 Reaserch Scholor SVU Gajraula Amroha, U.P. 2 Assistant professor ABSTRACT Induction
Modeling of Direct Torque Control (DTC) of BLDC Motor Drive
IJSTE - International Journal of Science Technology & Engineering Volume 3 Issue 09 March 2017 ISSN (online): 2349-784X Modeling of Direct Torque Control (DTC) of BLDC Motor Drive Addagatla Nagaraju Lecturer
Direct Flux Vector Control Of Induction Motor Drives With Maximum Efficiency Per Torque
Direct Flux Vector Control Of Induction Motor Drives With Maximum Efficiency Per Torque S. Rajesh Babu 1, S. Sridhar 2 1 PG Scholar, Dept. Of Electrical & Electronics Engineering, JNTUACEA, Anantapuramu,
DTC Based Induction Motor Speed Control Using 10-Sector Methodology For Torque Ripple Reduction
DTC Based Induction Motor Speed Control Using 10-Sector Methodology For Torque Ripple Reduction S. Pavithra, Dinesh Krishna. A. S & Shridharan. S Netaji Subhas Institute of Technology, Delhi University
Modelling of Closed Loop Speed Control for Pmsm Drive
Modelling of Closed Loop Speed Control for Pmsm Drive Vikram S. Sathe, Shankar S. Vanamane M. Tech Student, Department of Electrical Engg, Walchand College of Engineering, Sangli. Associate Prof, Department
DEVELOPMENT OF DIRECT TORQUE CONTROL MODELWITH USING SVI FOR THREE PHASE INDUCTION MOTOR
DEVELOPMENT OF DIRECT TORQUE CONTROL MODELWITH USING SVI FOR THREE PHASE INDUCTION MOTOR MUKESH KUMAR ARYA * Electrical Engg. Department, Madhav Institute of Technology & Science, Gwalior, Gwalior, 474005,
Implementation of Twelve-Sector based Direct Torque Control for Induction motor
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 2 Issue 4 ǁ April. 2013 ǁ PP.32-37 Implementation of Twelve-Sector based Direct Torque Control
2014 Texas Instruments Motor Control Training Series. -V th. Dave Wilson
204 Texas Instruments Motor Control Training Series V th Speed Sensorless FOC P Commanded Rotor Speed Commanded i d = 0 Commanded i q (torque) P I P V d V q Reverse ClarkePark Transform θ d V a V b V c
Robust sliding mode speed controller for hybrid SVPWM based direct torque control of induction motor
ISSN 1 746-7233, England, UK World Journal of Modelling and Simulation Vol. 3 (2007) No. 3, pp. 180-188 Robust sliding mode speed controller for hybrid SVPWM based direct torque control of induction motor
Lecture 8: Sensorless Synchronous Motor Drives
1 / 22 Lecture 8: Sensorless Synchronous Motor Drives ELEC-E8402 Control of Electric Drives and Power Converters (5 ECTS) Marko Hinkkanen Spring 2017 2 / 22 Learning Outcomes After this lecture and exercises
Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors
Applied and Computational Mechanics 3 (2009) 331 338 Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors M. Mikhov a, a Faculty of Automatics,
Novel DTC-SVM for an Adjustable Speed Sensorless Induction Motor Drive
Novel DTC-SVM for an Adjustable Speed Sensorless Induction Motor Drive Nazeer Ahammad S1, Sadik Ahamad Khan2, Ravi Kumar Reddy P3, Prasanthi M4 1*Pursuing M.Tech in the field of Power Electronics 2*Working
MATLAB SIMULATION OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING CONVENTIONAL METHOD AND SPACE VECTOR PULSE WIDTH MODULATION
MATLAB SIMULATION OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING CONVENTIONAL METHOD AND SPACE VECTOR PULSE WIDTH MODULATION Naveen Chander Assistant Professor, Department of Electrical and Electronics
FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE CONTROL OF INDUCTION MOTOR
Journal of Engineering Science and Technology Vol., No. (26) 46-59 School of Engineering, Taylor s University FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE
International Journal of Advance Engineering and Research Development SIMULATION OF FIELD ORIENTED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR
Scientific Journal of Impact Factor(SJIF): 3.134 e-issn(o): 2348-4470 p-issn(p): 2348-6406 International Journal of Advance Engineering and Research Development Volume 2,Issue 4, April -2015 SIMULATION
Direct torque control of induction motor fed by two level inverter using space vector pulse width modulation
ISSN 1 746-7233, England, UK World Journal of Modelling and Simulation Vol. 9 (2013) No. 1, pp. 59-67 Direct torque control of induction motor fed by two level inverter using space vector pulse width modulation
A Novel Three-phase Matrix Converter Based Induction Motor Drive Using Power Factor Control
Australian Journal of Basic and Applied Sciences, 8(4) Special 214, Pages: 49-417 AENSI Journals Australian Journal of Basic and Applied Sciences ISSN:1991-8178 Journal home page: www.ajbasweb.com A Novel
ISSN: (Online) Volume 2, Issue 2, February 2014 International Journal of Advance Research in Computer Science and Management Studies
ISSN: 2321-7782 (Online) Volume 2, Issue 2, February 2014 International Journal of Advance Research in Computer Science and Management Studies Research Article / Paper / Case Study Available online at:
DIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR USING FUZZY LOGIC
DIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR USING FUZZY LOGIC 1 RAJENDRA S. SONI, 2 S. S. DHAMAL 1 Student, M. E. Electrical (Control Systems), K. K. Wagh College of Engg. & Research, Nashik 2
Direct torque control of three Phase induction motor using matlab
Direct torque control of three Phase induction motor using matlab Narender Kumar, Mr. Joginder Singh 2 Ganga Institute Of Technology and Management, Maharshi Dayanand University, Kablana, Jhajjar, India
Position with Force Feedback Control of Manipulator Arm
Position with Force Feedback Control of Manipulator Arm 1 B. K. Chitra, 2 J. Nandha Gopal, 3 Dr. K. Rajeswari PG Student, Department of EIE Assistant Professor, Professor, Department of EEE Abstract This
A NOVEL FLUX-SPACE-VECTOR-BASED DIRECT TORQUE CONTROL SCHEME FOR PMSG USED IN VARIABLE-SPEED DIRECT-DRIVE WECS
A NOVEL FLUX-SPACE-VECTOR-BASED DIRECT TORQUE CONTROL SCHEME FOR PMSG USED IN VARIABLE-SPEED DIRECT-DRIVE WECS B.VENKATESWARARAJU 1, B. YELLA REDDY 2 1 Mtech Scholar, 2 Assistant Professor Department of
A new FOC technique based on predictive current control for PMSM drive
ISSN 1 746-7, England, UK World Journal of Modelling and Simulation Vol. 5 (009) No. 4, pp. 87-94 A new FOC technique based on predictive current control for PMSM drive F. Heydari, A. Sheikholeslami, K.
Dynamic Modeling of Surface Mounted Permanent Synchronous Motor for Servo motor application
797 Dynamic Modeling of Surface Mounted Permanent Synchronous Motor for Servo motor application Ritu Tak 1, Sudhir Y Kumar 2, B.S.Rajpurohit 3 1,2 Electrical Engineering, Mody University of Science & Technology,
Robust Non-Linear Direct Torque and Flux Control of Adjustable Speed Sensorless PMSM Drive Based on SVM Using a PI Predictive Controller
Journal of Engineering Science and Technology Review 3 (1) (2010) 168-175 Research Article JOURNAL OF Engineering Science and Technology Review www.jestr.org Robust Non-Linear Direct Torque and Flux Control
Step Motor Modeling. Step Motor Modeling K. Craig 1
Step Motor Modeling Step Motor Modeling K. Craig 1 Stepper Motor Models Under steady operation at low speeds, we usually do not need to differentiate between VR motors and PM motors (a hybrid motor is
Generators for wind power conversion
Generators for wind power conversion B. G. Fernandes Department of Electrical Engineering Indian Institute of Technology, Bombay Email : bgf@ee.iitb.ac.in Outline of The Talk Introduction Constant speed
Accurate Joule Loss Estimation for Rotating Machines: An Engineering Approach
Accurate Joule Loss Estimation for Rotating Machines: An Engineering Approach Adeeb Ahmed Department of Electrical and Computer Engineering North Carolina State University Raleigh, NC, USA aahmed4@ncsu.edu
CHAPTER 2 MODELLING OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR
21 CHAPTER 2 MODELLING OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR 2.1 INTRODUCTION The need for adjustable speed drives in industrial applications has been increasing progressively. The variable speed
Comparative Analysis of Speed Control of Induction Motor by DTC over Scalar Control Technique
Comparative Analysis of Speed Control of Induction Motor by DTC over Scalar Control Technique S.Anuradha 1, N.Amarnadh Reddy 2 M.Tech (PE), Dept. of EEE, VNRVJIET, T.S, India 1 Assistant Professor, Dept.
970 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 48, NO. 3, MAY/JUNE 2012
970 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 48, NO. 3, MAY/JUNE 2012 Control Method Suitable for Direct-Torque-Control-Based Motor Drive System Satisfying Voltage and Current Limitations Yukinori
EE 742 Chapter 3: Power System in the Steady State. Y. Baghzouz
EE 742 Chapter 3: Power System in the Steady State Y. Baghzouz Transmission Line Model Distributed Parameter Model: Terminal Voltage/Current Relations: Characteristic impedance: Propagation constant: π
Control of Wind Turbine Generators. James Cale Guest Lecturer EE 566, Fall Semester 2014 Colorado State University
Control of Wind Turbine Generators James Cale Guest Lecturer EE 566, Fall Semester 2014 Colorado State University Review from Day 1 Review Last time, we started with basic concepts from physics such as
Offline Parameter Identification of an Induction Machine Supplied by Impressed Stator Voltages
POSTER 2016, PRAGUE MAY 24 1 Offline Parameter Identification of an Induction Machine Supplied by Impressed Stator Voltages Tomáš KOŠŤÁL Dept. of Electric Drives and Traction, Czech Technical University,
Sliding-Mode Observer based Direct Torque Control of an IPM- Synchronous Motor Drive at Very Low Speed
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 9, Issue 6 Ver. IV (Nov Dec. 2014), PP 08-17 www.iosrjournals.org Sliding-Mode Observer based
A High Performance DTC Strategy for Torque Ripple Minimization Using duty ratio control for SRM Drive
A High Performance DTC Strategy for Torque Ripple Minimization Using duty ratio control for SRM Drive Veena P & Jeyabharath R 1, Rajaram M 2, S.N.Sivanandam 3 K.S.Rangasamy College of Technology, Tiruchengode-637
MODELING AND HIGH-PERFORMANCE CONTROL OF ELECTRIC MACHINES
MODELING AND HIGH-PERFORMANCE CONTROL OF ELECTRIC MACHINES JOHN CHIASSON IEEE PRESS ü t SERIES ON POWER ENGINEERING IEEE Press Series on Power Engineering Mohamed E. El-Hawary, Series Editor The Institute
A New Predictive Control Strategy Dedicated to Salient Pole Synchronous Machines
A New Predictive Control Strategy Dedicated to Salient Pole Synchronous Machines Nicolas Patin Member IEEE University of Technology of Compiègne Laboratoire d Electromécanique de Compiègne Rue Personne
Simplified EKF Based Sensorless Direct Torque Control of Permanent Magnet Brushless AC Drives
International Journal of Automation and Computing (24) 35-4 Simplified EKF Based Sensorless Direct Torque Control of Permanent Magnet Brushless AC Drives Yong Liu, Ziqiang Zhu, David Howe Department of
CASCADED DUAL MODEL PREDICTIVE CONTROL OF AN ACTIVE FRONT-END RECTIFIER
CASCADED DUAL MODEL PREDICTIVE CONTROL OF AN ACTIVE FRONT-END RECTIFIER 1 PENTA SRAVANTHI, 2 RAVULA SWATHI 1 M.Tech, BALAJI INSTITUTE OF TECHNOLOGY AND SCIENCE 2 Assistant professor, BALAJI INSTITUTE OF
Advanced Finite-Set Model Predictive Control for Power Electronics and Electrical Drives
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik der Technischen Universität München Advanced Finite-Set Model Predictive Control for Power Electronics and Electrical Drives Peter Johannes
Speed Control of PMSM Drives by Using Neural Network Controller
Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 4, Number 4 (2014), pp. 353-360 Research India Publications http://www.ripublication.com/aeee.htm Speed Control of PMSM Drives by
MAGNT Research Report (ISSN ) Vol.2 (6). PP: 22-31
Comparative Analysis of Field-Oriented Control and Direct Torque Control For Induction Motor Drives Omid moradi 1, Mohammad Reza Alizadeh Pahlavani 2, Iman Soltani 3 1 Department of Electrical Engineering,
the machine makes analytic calculation of rotor position impossible for a given flux linkage and current value.
COMPARISON OF FLUX LINKAGE ESTIMATORS IN POSITION SENSORLESS SWITCHED RELUCTANCE MOTOR DRIVES Erkan Mese Kocaeli University / Technical Education Faculty zmit/kocaeli-turkey email: emese@kou.edu.tr ABSTRACT
Sensorless Speed Control for PMSM Based On the DTC Method with Adaptive System R. Balachandar 1, S. Vinoth kumar 2, C. Vignesh 3
Sensorless Speed Control for PMSM Based On the DTC Method with Adaptive System R. Balachandar 1, S. Vinoth kumar 2, C. Vignesh 3 P.G Scholar, Sri Subramanya College of Engg & Tech, Palani, Tamilnadu, India
Comparison by Simulation of Various Strategies of Three Level Induction Motor Torque Control Schemes for Electrical Vehicle Application
, July 6-8, 20, London, U.K. Comparison by Simulation of Various Strategies of hree Level Induction Motor orque Control Schemes for Electrical Vehicle Application L. YOUB, A. CRACIUNESCU Abstract In this
INDUCTION MOTOR MODEL AND PARAMETERS
APPENDIX C INDUCTION MOTOR MODEL AND PARAMETERS C.1 Dynamic Model of the Induction Motor in Stationary Reference Frame A three phase induction machine can be represented by an equivalent two phase machine
Evaluation Method to Estimate Position Control Error in Position Sensorless Control Based on Pattern Matching Method
IEEJ Journal of Industry Applications Vol.7 No.1 pp.73 79 DOI: 10.1541/ieejjia.7.73 Paper Evaluation Method to Estimate Position Control Error in Position Sensorless Control Based on Pattern Matching Method
JRE SCHOOL OF Engineering
JRE SCHOOL OF Engineering Class Test-1 Examinations September 2014 Subject Name Electromechanical Energy Conversion-II Subject Code EEE -501 Roll No. of Student Max Marks 30 Marks Max Duration 1 hour Date
Four-Switch Inverter-Fed Direct Torque control of Three Phase Induction Motor
Four-Switch Inverter-Fed Direct Torque control of Three Phase Induction Motor R.Dharmaprakash 1, Joseph Henry 2, P.Gowtham 3 Research Scholar, Department of EEE, JNT University, Hyderabad, India 1 Professor,
ENHANCEMENT IN STEADY STATE AND DYNAMIC PERFORMANCE OF DIRECT TORQUE CONTROL INDUCTION MOTOR DRIVE
Journal of ELECTRICAL ENGINEERING, VOL. 64, NO. 5, 2013, 283 290 ENHANCEMENT IN STEADY STATE AND DYNAMIC PERFORMANCE OF DIRECT TORQUE CONTROL INDUCTION MOTOR DRIVE Bhoopendra Singh Shailendra Jain Sanjeet
Modelling and Simulation of Direct Self-Control Systems*
Int. J. Engng Ed. Vol. 19, No., pp. ±, 003 099-19X/91 $3.00+0.00 Printed in Great Britain. # 003 TEMPUS Publications. Modelling and Simulation of Direct Self-Control Systems* K. L. SHI, T. F. CHAN, Y.
Direct Torque Control of Three Phase Induction Motor FED with Three Leg Inverter Using Proportional Controller
Direct Torque Control of Three Phase Induction Motor FED with Three Leg Inverter Using Proportional Controller Bijay Kumar Mudi 1, Sk. Rabiul Hossain 2,Sibdas Mondal 3, Prof. Gautam Kumar Panda 4, Prof.
TORQUE-FLUX PLANE BASED SWITCHING TABLE IN DIRECT TORQUE CONTROL. Academy, Istanbul, Turkey
PROCEEDINGS The 5 th International Symposium on Sustainable Development ISSD 2014 TORQUE-FLUX PLANE BASED SWITCHING TABLE IN DIRECT TORQUE CONTROL M Ozgur Kizilkaya 1, Tarik Veli Mumcu 2, Kayhan Gulez
PRINCIPLE OF DESIGN OF FOUR PHASE LOW POWER SWITCHED RELUCTANCE MACHINE AIMED TO THE MAXIMUM TORQUE PRODUCTION
Journal of ELECTRICAL ENGINEERING, VOL. 55, NO. 5-6, 24, 138 143 PRINCIPLE OF DESIGN OF FOUR PHASE LOW POWER SWITCHED RELUCTANCE MACHINE AIMED TO THE MAXIMUM TORQUE PRODUCTION Martin Lipták This paper
Power Quality Improvement in PMSM Drive Using Zeta Converter
Power Quality Improvement in PMSM Drive Using Zeta Converter Y.Teja 1, A. DurgaPrasad 2, Sk. Chan Basha 3 1 PG Scholar, Dept of EEE, Sir CRR College of Engineering, Eluru, A.P. 2 Assistant Professor, Dept
Speed Sensorless Control of a Long-Stator Linear Synchronous-Motor arranged by Multiple Sections
Speed Sensorless Control of a Long-Stator Linear Synchronous-Motor arranged by Multiple Sections Roberto Leidhold Peter Mutschler Department of Power Electronics and Control of Drives Darmsta University
Lecture 7: Synchronous Motor Drives
1 / 46 Lecture 7: Synchronous Motor Drives ELEC-E8402 Control of Electric Drives and Power Converters (5 ECTS) Marko Hinkkanen Spring 2017 2 / 46 Learning Outcomes After this lecture and exercises you
6 Chapter 6 Testing and Evaluation
6 Chapter 6 Testing and Evaluation n this chapter the results obtained during the testing of the LS PMSM prototype are provided. The test results are compared with Weg s LS PMSM machine, WQuattro. The
Direct Torque Control of Three Phase Induction Motor Using Fuzzy Logic
Direct Torque Control of Three Phase Induction Motor Using Fuzzy Logic Mr. Rajendra S. Soni 1, Prof. S. S. Dhamal 2 1 Student, M. E. Electrical (Control Systems), K. K. Wagh College of Engg.& Research,
An improved deadbeat predictive current control for permanent magnet linear synchronous motor
Indian Journal of Engineering & Materials Sciences Vol. 22, June 2015, pp. 273-282 An improved deadbeat predictive current control for permanent magnet linear synchronous motor Mingyi Wang, iyi i, Donghua
Open Access Permanent Magnet Synchronous Motor Vector Control Based on Weighted Integral Gain of Sliding Mode Variable Structure
Send Orders for Reprints to reprints@benthamscienceae The Open Automation and Control Systems Journal, 5, 7, 33-33 33 Open Access Permanent Magnet Synchronous Motor Vector Control Based on Weighted Integral
Speed Sensor less DTC of VSI fed Induction Motor with Simple Flux Regulation for Improving State Estimation at Low Speed
Speed Sensor less DTC of VSI fed Induction Motor with Simple Flux Regulation for Improving State Estimation at Low Speed K. Farzand Ali 1, S.Sridhar 2 1 PG Scholar, Dept. Of Electrical & Electronics Engineering,
Model Predictive Torque and Flux Control Minimizing Current Distortions
Model Predictive Torque and Flux Control Minimizing Current istortions Petros Karamanakos, Member, IEEE, and Tobias Geyer, Senior Member, IEEE Abstract A new model predictive torque and flux controller
FIELD-ORIENTED control (FOC) [1] and direct torque
![FIELD-ORIENTED control (FOC) [1] and direct torque](/thumbs/95/123902788.jpg "FIELD-ORIENTED control (FOC) [1] and direct torque")
1428 IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 21, NO. 5, SEPTEMBER 2006 Formal Derivation of Direct Torque Control for Induction Machines Zakdy Sorchini, Student Member, IEEE, and Philip T. Krein,
Sunita.Ch 1, M.V.Srikanth 2 1, 2 Department of Electrical and Electronics, Shri Vishnu engineering college for women, India
MODELING AND ANALYSIS OF 6/4 SWITCHED RELUCTANCE MOTOR WITH TORQUE RIPPLE REDUCTION Sunita.Ch 1, M.V.Srikanth 2 1, 2 Department of Electrical and Electronics, Shri Vishnu engineering college for women,
Digital Object Identifier: /ICELMACH URL:
J. Beerten, J. Vervecen, and J. Driesen, Prediction-based ripple reduction in direct torque control of an induction machine, Proc. IEEE International Conference on Electrical Machines ICEM 8, Villamoura,
Direct Torque Control of Brushless DC Motor with Non-sinusoidal Back-EMF
International Journal of Electrical Electronics Computers & Mechanical Engineering (IJEECM) ISSN: 2278-288 Volume 7 Issue 2 ǁ Feb. 217 IJEECM journal of Electrical Engineering (ijeecm-jee) Direct Torque
2016 Kappa Electronics Motor Control Training Series 2016 Kappa Electronics LLC. -V th. Dave Wilson Co-Owner Kappa Electronics.
2016 Kappa Electronics Motor Control Training Series 2016 Kappa Electronics LLC V th CoOwner Kappa Electronics www.kappaiq.com Speed Sensorless FOC P Commanded Rotor Speed Commanded i d = 0 Commanded i
2016 Kappa Electronics Motor Control Training Series Kappa Electronics LLC. -V th. Dave Wilson Co-Owner Kappa Electronics.
2016 Kappa Electronics Motor Control Training Series 2016 Kappa Electronics C V th CoOwner Kappa Electronics www.kappaiq.com Benefits of Field Oriented Control NewtonMeters Maximum Torque Per Amp (MTPA)
Contouring Control for a CNC Milling Machine Driven by Direct thrust Controlled Linear Induction Motors
From the SelectedWorks of Innovative Research Publications IRP India Winter December, 5 Contouring Control for a CNC Milling Machine Driven by Direct thrust Controlled Linear Induction Motors Khaled N.
Analytical Model for Sizing the Magnets of Permanent Magnet Synchronous Machines
Journal of Electrical Engineering 3 (2015) 134-141 doi: 10.17265/2328-2223/2015.03.004 D DAVID PUBLISHING Analytical Model for Sizing Magnets of Permanent Magnet Synchronous Machines George Todorov and
Optimization of PI Parameters for Speed Controller of a Permanent Magnet Synchronous Motor by using Particle Swarm Optimization Technique
Optimization of PI Parameters for Speed Controller of a Permanent Magnet Synchronous Motor by using Particle Swarm Optimization Technique Aiffah Mohammed 1, Wan Salha Saidon 1, Muhd Azri Abdul Razak 2,
MODIFIED SCHEME OF PREDICTIVE TORQUE CONTROL FOR THREE-PHASE FOUR-SWITCH INVERTER-FED MOTOR DRIVE WITH ADAPTIVE DC-LINK VOLTAGE IMBALANCE SUPPRESSION
POWER ELECTRONICS AND DRIVES 2(37), No. 2, 217 DOI: 1.5277/PED1728 MODIFIED SCHEME OF PREDICTIVE TORQUE CONTROL FOR THREE-PHASE FOUR-SWITCH INVERTER-FED MOTOR DRIVE WITH ADAPTIVE DC-LINK VOLTAGE IMBALANCE
Anakapalli Andhra Pradesh, India I. INTRODUCTION
Robust MRAS Based Sensorless Rotor Speed Measurement of Induction Motor against Variations in Stator Resistance Using Combination of Back Emf and Reactive Power Methods Srikanth Mandarapu Pydah College
STUDY OF INDUCTION MOTOR DRIVE WITH DIRECT TORQUE CONTROL SCHEME AND INDIRECT FIELD ORIENTED CONTROL SCHEME USING SPACE VECTOR MODULATION
STUDY OF INDUCTION MOTOR DRIVE WITH DIRECT TORQUE CONTROL SCHEME AND INDIRECT FIELD ORIENTED CONTROL SCHEME USING SPACE VECTOR MODULATION A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR
Speed Behaviour of PI and SMC Based DTC of BLDC Motor
Speed Behaviour of PI and SMC Based DTC of BLDC Motor Dr.T.Vamsee Kiran 1, M.Prasanthi 2 Professor, Dept. of EEE, DVR &Dr. HS MIC College of Technology, Andhra Pradesh, India 1 PG Student [PE], Dept. of
Hysteresis Control and Constant-Switching Strategy in Direct Torque Control Drive A Comparative Analysis
Hysteresis Control and ConstantSwitching Strategy in Direct Torque Control Drive A Comparative Analysis Aleksandar Nikolic, Borislav Jeftenic Department for electrical measurements, Electrical drives department.
Wide-Speed Operation of Direct Torque-Controlled Interior Permanent-Magnet Synchronous Motors
Wide-Speed Operation of Direct Torque-Controlled Interior Permanent-Magnet Synchronous Motors Adina Muntean, M.M. Radulescu Small Electric Motors and Electric Traction (SEMET) Group, Technical University
Study on Nonlinear Perpendicular Flux Observer for Direct-torque-controlled Induction Motor
ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol.6(2008) No.1,pp.73-78 Study on Nonlinear Perpendicular Flux Observer for Direct-torque-controlled Induction Motor
Passivity-based Control of Euler-Lagrange Systems
Romeo Ortega, Antonio Loria, Per Johan Nicklasson and Hebertt Sira-Ramfrez Passivity-based Control of Euler-Lagrange Systems Mechanical, Electrical and Electromechanical Applications Springer Contents
Definition Application of electrical machines Electromagnetism: review Analogies between electric and magnetic circuits Faraday s Law Electromagnetic
Definition Application of electrical machines Electromagnetism: review Analogies between electric and magnetic circuits Faraday s Law Electromagnetic Force Motor action Generator action Types and parts
High-Speed Current Vector Control of PWM Inverter Minimizing Current Error at Every Sampling Point
High-Speed Current Vector Control of PWM Inverter Minimizing Current Error at Every Sampling Point Toshihiko Noguchi, Hirokazu Kodachi Isamu Saito Nagaoka University of Technology Toshiba Corporation 16-1
Three-Level Direct Torque Control Based on Artificial Neural Network of Double Star Synchronous Machine
ISSN 1583-233 Issue 24, January-June 214 Three-Level Direct Torque Control Based on Artificial Neural Network of Double Star Synchronous Machine Elakhdar BENYOUSSEF 1, Abdelkader MEROUFEL 1 and Said BARKAT
Sensorless Control of Two-phase Switched Reluctance Drive in the Whole Speed Range
Sensorless Control of Two-phase Switched Reluctance Drive in the Whole Speed Range Dmitry Aliamkin, Alecksey Anuchin, Maxim Lashkevich Electric Drives Department of Moscow Power Engineering Institute,
SIMULATION OF A SHIP PROPULSION SYSTEM WITH DTC DRIVING SCHEME
562 SMULATON OF A SHP PROPULSON SYSTEM WTH DTC DRVNG SCHEME G. Diamantis J.M. Prousalidis School of Naval Architecture and Marine Engineering National Technical University of Athens Greece Keywords: Direct
Impact of the Motor Magnetic Model on Direct Flux Vector Control of Interior PM Motors
Impact of the Motor Magnetic Model on Direct Flux Vector Control of Interior PM Motors Gianmario Pellegrino, Radu Bojoi, Paolo Guglielmi Politecnico di Torino, Italy (gianmario.pellegrino,radu.bojoi,paolo.guglielmi)@polito.it
ENGG4420 LECTURE 7. CHAPTER 1 BY RADU MURESAN Page 1. September :29 PM
CHAPTER 1 BY RADU MURESAN Page 1 ENGG4420 LECTURE 7 September 21 10 2:29 PM MODELS OF ELECTRIC CIRCUITS Electric circuits contain sources of electric voltage and current and other electronic elements such
Preprint.
http://www.diva-portal.org Preprint This is the submitted version of a paper presented at the 20th European Conference on Power Electronics and Applications (EPE 2018). Citation for the original published
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists 3,900 116,000 120M Open access books available International authors and editors Downloads Our
Spontaneous Speed Reversals in Stepper Motors
Spontaneous Speed Reversals in Stepper Motors Marc Bodson University of Utah Electrical & Computer Engineering 50 S Central Campus Dr Rm 3280 Salt Lake City, UT 84112, U.S.A. Jeffrey S. Sato & Stephen
Study Of Total Harmonic Distortion Using Space Vector Modulation Technique In Permanent Magnet Synchronous Motor
Study Of Total Harmonic Distortion Using Space Vector Modulation Technique In Permanent Magnet Synchronous Motor Bibhu Prasad Ganthia 1 Dr. (Prof.) Bibhu Prasad Panigrahi 2 1 PG Student, 2 Head of the