Real-Time Integer Optimal Control on FPGA Bartolomeo Stellato and Paul Goulart
|
|
- Oswald Fields
- 5 years ago
- Views:
Transcription
1 Real-Time Integer Optimal Control on FPGA and Paul Goulart CDC 2016 Dec 12, 2016 Las Vegas, NV, USA
2 Medium-voltage drives market is worth 4bln $. and is growing 10% every year!
3 Power Distribution Grid Rectifier Inverter Motor Load ~ = ~ = ~ Transformer 3
4 Power Distribution Inverter Motor = ~ 3
5 Power Distribution Inverter Motor = ~ 3
6 Traditional Control Schemes Are Suboptimal Traditional Control Controller u cont Modulator Inverter and Motor = ~ x 4
7 Traditional Control Schemes Are Suboptimal Direct MPC Controller u sw Inverter and Motor = ~ x 5
8 But Direct MPC is Difficult Currents 1 THD Time[ms] Inputs f sw Time[ms] 6
9 But Direct MPC is Difficult Currents 1 THD Time[ms] Tradeoff THD vs f sw Inputs f sw Time[ms] 6
10 But Direct MPC is Difficult Very fast dynamics 7
11 But Direct MPC is Difficult Very fast dynamics Mixed Integer Optimization Problems in 25 µs! 7
12 But Direct MPC is Difficult Control Objectives Timing THD f sw Tradeoff THD vs f sw Mixed Integer Optimization Problems in 25 µs! 8
13 Problem Formulation
14 Total Harmonic Distortion ( ) ( ) = 10
15 Total Harmonic Distortion ( ) ( ) = THD Component in Cost Function = ( ) ( ) 10
16 Total Harmonic Distortion ( ) ( ) = THD Component in Cost Function = ( ) ( ) Internal Motor States 10
17 Total Harmonic Distortion ( ) ( ) = THD Component in Cost Function = ( ) ( ) Internal Motor States Oscillating References 10
18 Switching Frequency = ( ) ( ) = 11
19 Switching Frequency = = ( ) ( ) FIR Filter 11
20 Switching Frequency = = ( ) ( ) Approximate with IIR Filter FIR Filter 11
21 Switching Frequency = = ( ) ( ) Approximate with IIR Filter FIR Filter ˆ ( ) = 11
22 Switching Frequency = = ( ) ( ) Approximate with IIR Filter FIR Filter ˆ ( ) = Frequency Estimate 11
23 Switching Frequency = = ( ) ( ) Approximate with IIR Filter FIR Filter ˆ ( ) = Frequency Estimate Desired Frequency 11
24 Switching Frequency = = ( ) ( ) Approximate with IIR Filter FIR Filter ˆ ( ) = Frequency Estimate Desired Frequency Filter States x iir 11
25 Complete Block Diagram MPC Inverter and Motor = ~ IIR = 12
26 Complete Block Diagram Controller MPC Inverter and Motor = ~ IIR = 12
27 Optimal Control Problem Infinite Horizon minimize γ k l(x(k)) k=0 subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 13
28 Optimal Control Problem Infinite Horizon minimize γ k l(x(k)) k=0 subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 where l(x(k))= i(k) i (k) 2 2+δ ˆ f sw (k) f sw 2 2 THD 13
29 Optimal Control Problem Infinite Horizon minimize γ k l(x(k)) k=0 subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 where l(x(k))= i(k) i (k) 2 2+δ ˆ f sw (k) f sw 2 2 THD 13
30 Optimal Control Problem Infinite Horizon minimize γ k l(x(k)) k=0 subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 where l(x(k))= i(k) i (k) 2 2+δ ˆ f sw (k) f sw 2 2 THD 13
31 Optimal Control Problem Infinite Horizon minimize γ k l(x(k)) k=0 subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 where l(x(k))= i(k) i (k) 2 2+δ ˆ f sw (k) f sw 2 2 THD Impossible to Solve Online 13
32 Problem Solution
33 Optimal Control Problem Infinite Horizon minimize γ k l(x(k)) k=0 subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 ( ( )) 15
34 Optimal Control Problem minimize Short Finite Horizon N 1 k=0 γ k l(x(k))+γ N V(x(k)) subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 ( ( )) 15
35 Optimal Control Problem minimize Short Finite Horizon N 1 k=0 γ k l(x(k))+γ N V(x(k)) subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 ( ( )) Very Short Horizon N 15
36 Optimal Control Problem minimize Short Finite Horizon N 1 k=0 γ k l(x(k))+γ N V(x(k)) subjectto x(k+1)=ax(k)+bu(k) x(0)=x 0 x(k) X,u(k) { 1,0,1} 3 ( ( )) Very Short Horizon N Approximate ( ( )) Offline 15
37 Approximate Dynamic Programming ( )= Bellman Equality { ( )+ ( + )} 16
38 Approximate Dynamic Programming ( )= Bellman Equality { ( )+ ( + )} T Bellman Operator T 16
39 Approximate Dynamic Programming ( )= Bellman Equality { ( )+ ( + )} T Bellman Operator T Contractive lim M TM V =V 16
40 Approximate Dynamic Programming ( )= Bellman Equality { ( )+ ( + )} T Bellman Operator T Contractive Monotone lim M TM V =V = T T 16
41 Approximate Dynamic Programming Bellman Inequality V(x) min u {l(x)+γv(ax+bu)} T Bellman Operator T Contractive Monotone lim M TM V =V = T T 16
42 Approximate Dynamic Programming Bellman Inequality V(x) min u {l(x)+γv(ax+bu)} T Bellman Operator T Contractive Monotone lim M TM V =V = T T Sufficient condition for underestimating T = 16
43 Finding the Best Underestimator Infinite Dimensional LP X ( ) ( ) ( ) T ( ) 17
44 Finding the Best Underestimator Infinite Dimensional LP maximize X V(x)c(dx) subjectto V(x) T M V(x) x Iterated Bellman Inequality 17
45 Finding the Best Underestimator Infinite Dimensional LP maximize X V(x)c(dx) subjectto V(x) T M V(x) x Iterated Bellman Inequality Restrict to Quadratic Functions V(x)=x Px+2q x+r 17
46 Finding the Best Underestimator Infinite Dimensional LP maximize X V(x)c(dx) subjectto V(x) T M V(x) x Iterated Bellman Inequality Restrict to Quadratic Functions V(x)=x Px+2q x+r Tractable SDP (Offline) 17
47 FPGA Implementation PROTOIP Toolbox (Suardi et al.) Brute force enumeration Pipelined Evaluation of Switch Sequences Parallelized Matrix Computations
48 Timing Benchmarks =.. =.. [ ] 19
49 Timing Benchmarks =.. =.. [ ] Computation Times under 25 µs! 19
50 Hardware in the Loop Tests
51 Steady-State Performance at = 300 Hz THD [%] ADP State of the art Horizon Length N 21
52 Steady-State Performance at = 300 Hz THD [%] ADP State of the art Horizon Length N Better Performance with Short Horizons 21
53 Conclusions - New Approach to Direct MPC 22
54 Conclusions - New Approach to Direct MPC Meaningful formulation ( ) THDvsf sw 22
55 Conclusions - New Approach to Direct MPC Meaningful formulation ( THDvsf sw ) Complexity reduction with good performance (ADP) 22
56 Conclusions - New Approach to Direct MPC Meaningful formulation ( THDvsf sw ) Complexity reduction with good performance (ADP) Real-Time FPGA implementation (< 25 µs ) 22
57 Conclusions - New Approach to Direct MPC Meaningful formulation ( THDvsf sw ) Complexity reduction with good performance (ADP) Real-Time FPGA implementation (< 25 µs ) High-Speed Finite Control Set Model Predictive Control for Power Electronics B. Stellato, T. Geyer, P. J. Goulart IEEE Transactions on Power Electronics (In Press) 22
58
59 Backup - Transient Currents = ( ) Time[ms] 24
60 Backup - Dense Formulation Integer Program + ( ) ( ) {,, } 25
61 Backup - SDP Formulation Quadratic Cost Function X ( ) ( )= ( )+ + SDP Formulation ( )+ + ( ), M, =,..., = S, R, R, =,..., 26
62 Backup - Switch Positions C dc C dc C dc V dc N i x V dc N i x V dc N i x C dc C dc C dc 27
High-Speed Integer Optimal Control using ADP Bartolomeo Stellato and Paul Goulart
High-Speed Integer Optimal Control using ADP and Paul Goulart EUCCO 2016 13/09/2016 Leuven, Belgium Medium-voltage drives market is worth 4bln $. and is growing 10% every year! Power Distribution Grid
More informationHigh-Speed Finite Control Set Model Predictive Control for Power Electronics. Abstract
High-Speed Finite Control Set Model Predictive Control for Power Electronics Bartolomeo Stellato, Student Member, IEEE, Tobias Geyer, Senior Member, IEEE and Paul J. Goulart, Member, IEEE Abstract arxiv:50.05578v3
More informationModel 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
More informationOnline 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
More informationSwitching Time Optimization Bartolomeo Stellato, Sina Ober-Blöbaum and Paul Goulart
Switching Time Optimization, Sina Ober-Blöbaum and Paul Goulart CDC 2016 Dec 14, 2016 Las Vegas, NV, USA Switched System Dynamics ẋ=f i (x(t)) t [τ i,τ i+1 ) 3 Switching Time Optimization Problem minimize
More informationDistributed and Real-time Predictive Control
Distributed and Real-time Predictive Control Melanie Zeilinger Christian Conte (ETH) Alexander Domahidi (ETH) Ye Pu (EPFL) Colin Jones (EPFL) Challenges in modern control systems Power system: - Frequency
More informationAn 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
More informationReal Time Economic Dispatch for Power Networks: A Distributed Economic Model Predictive Control Approach
Real Time Economic Dispatch for Power Networks: A Distributed Economic Model Predictive Control Approach Johannes Köhler, Matthias A. Müller, Na Li, Frank Allgöwer Abstract Fast power fluctuations pose
More informationCASCADED 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
More informationDISTURBANCE LOAD MODELLING WITH EQUIVALENT VOLTAGE SOURCE METHOD IN GRID HARMONIC ASSESSMENT
DISTURBANCE LOAD MODELLING WITH EQUIVALENT VOLTAGE SOURCE METHOD IN GRID HARMONIC ASSESSMENT Xavier YANG Xingyan NIU Bruno PASZKIER EDF R&D France EDF R&D China EDF R&D - France xavier.yang@edf.fr xingyan.niu@edf.fr
More informationCentralized Supplementary Controller to Stabilize an Islanded AC Microgrid
Centralized Supplementary Controller to Stabilize an Islanded AC Microgrid ESNRajuP Research Scholar, Electrical Engineering IIT Indore Indore, India Email:pesnraju88@gmail.com Trapti Jain Assistant Professor,
More informationSubject: Optimal Control Assignment-1 (Related to Lecture notes 1-10)
Subject: Optimal Control Assignment- (Related to Lecture notes -). Design a oil mug, shown in fig., to hold as much oil possible. The height and radius of the mug should not be more than 6cm. The mug must
More informationMarkov Decision Processes Infinite Horizon Problems
Markov Decision Processes Infinite Horizon Problems Alan Fern * * Based in part on slides by Craig Boutilier and Daniel Weld 1 What is a solution to an MDP? MDP Planning Problem: Input: an MDP (S,A,R,T)
More informationModeling & Simulation of Passive Shunt Filter for Power Quality Improvement Using TCR and TSC Combination By MATLAB/Simulink
Modeling & Simulation of Passive Shunt Filter for Power Quality Improvement Using TCR and TSC Combination By MATLAB/Simulink Neha Shaktawat*,Manjari Sharma** EEE departement, (M. Tech student) M.I.T. Mandsaur,
More informationControl Strategies for Microgrids
Control Strategies for Microgrids Ali Mehrizi-Sani Assistant Professor School of Electrical Engineering and Computer Science Washington State University Graz University of Technology Thursday, November
More informationNovel Approach to Develop Behavioral Model Of 12-Pulse Converter
Novel Approach to Develop Behavioral Model Of 12-Pulse Converter Amit Sanglikar, and Vinod John, Member, IEEE Abstract--A novel approach to develop behavioral model of 12- pulse converter, which reduces
More informationModel Predictive Pulse Pattern Control with Very Fast Transient Responses
Model Predictive Pulse Pattern Control with Very Fast Transient Responses Tobias Geyer, Senior Member, IEEE and Nikolaos Oikonomou, Member, IEEE Abstract Closed-loop control and modulation of AC drives
More informationModel Predictive Controller of Boost Converter with RLE Load
Model Predictive Controller of Boost Converter with RLE Load N. Murali K.V.Shriram S.Muthukumar Nizwa College of Vellore Institute of Nizwa College of Technology Technology University Technology Ministry
More informationDynamic Phasors in Modeling, Analysis and Control of Energy Processing Systems
Dynamic Phasors in Modeling, Analysis and Control of Energy Processing Systems 6/20/02 Alex M. Stanković Northeastern University, Boston, MA 1 Research Program Overview My research program focuses on the
More informationSwitched Capacitor Circuits II. Dr. Paul Hasler Georgia Institute of Technology
Switched Capacitor Circuits II Dr. Paul Hasler Georgia Institute of Technology Basic Switch-Cap Integrator = [n-1] - ( / ) H(jω) = - ( / ) 1 1 - e -jωt ~ - ( / ) / jωt (z) - z -1 1 (z) = H(z) = - ( / )
More informationEvaluation of Uncertainty in AC Power Calculation with Asynchronously Sampled Data
Journal of Physics: Conference Series OPEN ACCESS Evaluation of Uncertainty in AC Power Calculation with Asynchronously Sampled Data To cite this article: D Lindenthaler and H Zangl 01 J. Phys.: Conf.
More informationRepetitive control : Power Electronics. Applications
Repetitive control : Power Electronics Applications Ramon Costa Castelló Advanced Control of Energy Systems (ACES) Instituto de Organización y Control (IOC) Universitat Politècnica de Catalunya (UPC) Barcelona,
More informationMODIFIED 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
More informationTHE power transfer capability is one of the most fundamental
4172 IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 27, NO. 9, SEPTEMBER 2012 Letters Power Characterization of Isolated Bidirectional Dual-Active-Bridge DC DC Converter With Dual-Phase-Shift Control Biao
More informationFPGA Implementation of Model Predictive Direct Current Control
1 FPGA Implementation of Model Predictive Direct Current Control Joël Vallone, Tobias Geyer, Eduardo Rath Rohr Abstract An FPGA implementation of Model Predictive Direct Current Control (MPDCC) is reported
More informationVLSI Signal Processing
VLSI Signal Processing Lecture 1 Pipelining & Retiming ADSP Lecture1 - Pipelining & Retiming (cwliu@twins.ee.nctu.edu.tw) 1-1 Introduction DSP System Real time requirement Data driven synchronized by data
More informationProject Components. MC34063 or equivalent. Bread Board. Energy Systems Research Laboratory, FIU
Project Components MC34063 or equivalent Bread Board PSpice Software OrCAD designer Lite version http://www.cadence.com/products/orcad/pages/downloads.aspx#pspice More Details on the Introduction CONVERTER
More informationFINITE HORIZON ROBUST MODEL PREDICTIVE CONTROL USING LINEAR MATRIX INEQUALITIES. Danlei Chu, Tongwen Chen, Horacio J. Marquez
FINITE HORIZON ROBUST MODEL PREDICTIVE CONTROL USING LINEAR MATRIX INEQUALITIES Danlei Chu Tongwen Chen Horacio J Marquez Department of Electrical and Computer Engineering University of Alberta Edmonton
More informationControl Design Techniques in Power Electronics Devices
Hebertt Sira-Ramfrez and Ramön Silva-Ortigoza Control Design Techniques in Power Electronics Devices With 202 Figures < } Spri inger g< Contents 1 Introduction 1 Part I Modelling 2 Modelling of DC-to-DC
More informationManaging Emergency Generators
Managing Emergency Generators with nonlinear loads Author akshay thakur Application Engineer Kohler Co. Power Systems Division In this paper we will be focusing on the harmonic distortion that occurs in
More informationTemporal-Difference Q-learning in Active Fault Diagnosis
Temporal-Difference Q-learning in Active Fault Diagnosis Jan Škach 1 Ivo Punčochář 1 Frank L. Lewis 2 1 Identification and Decision Making Research Group (IDM) European Centre of Excellence - NTIS University
More informationPHYS225 Lecture 9. Electronic Circuits
PHYS225 Lecture 9 Electronic Circuits Last lecture Field Effect Transistors Voltage controlled resistor Various FET circuits Switch Source follower Current source Similar to BJT Draws no input current
More informationSection 1: Introduction
Section 1: Introduction Input Power Power Electronic Switching onverter Output Power ontrol Input Figure 1.1 Input Power: Output Power: D, A mains, randomly variable egulated under regenerative duty D,
More informationA Hierarchy of Suboptimal Policies for the Multi-period, Multi-echelon, Robust Inventory Problem
A Hierarchy of Suboptimal Policies for the Multi-period, Multi-echelon, Robust Inventory Problem Dimitris J. Bertsimas Dan A. Iancu Pablo A. Parrilo Sloan School of Management and Operations Research Center,
More informationAn FPGA Implementation of the Fast Gradient Method for Solving the Model Predictive Pulse Pattern Control Problem
An FPGA Implementation of the Fast Gradient Method for Solving the Model Predictive Pulse Pattern Control Problem Helfried Peyrl ABB Corporate Research 5405 Baden-Dättwil, Switzerland Email: helfried.peyrl@ch.abb.com
More informationLecture 10: Grid Faults and Disturbances
/ 2 Lecture : Grid Faults and Disturbances ELEC-E842 Control of Electric Drives and Power Converters (5 ECTS) Jarno Kukkola and Marko Hinkkanen Spring 27 2 / 2 Learning Outcomes After this lecture you
More informationGeneralized Periodic Disturbance Observer Technology with Automatic Learning Functions
Power Electronics Technology Generalized Periodic Disturbance Observer Technology with Automatic Learning Functions Yugo Tadano, Kazunobu Oi, Takashi Yamaguchi Keywords Harmonics suppression, Active filter,
More informationQuadratic and Polynomial Inequalities in one variable have look like the example below.
Section 8 4: Polynomial Inequalities in One Variable Quadratic and Polynomial Inequalities in one variable have look like the example below. x 2 5x 6 0 (x 2) (x + 4) > 0 x 2 (x 3) > 0 (x 2) 2 (x + 4) 0
More informationAlleviating tuning sensitivity in Approximate Dynamic Programming
Alleviating tuning sensitivity in Approximate Dynamic Programming Paul Beuchat, Angelos Georghiou and John Lygeros Abstract Approximate Dynamic Programming offers benefits for large-scale systems compared
More informationIN ADJUSTABLE-SPEED ac drives, dc ac inverters are
1894 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 56, NO. 6, JUNE 2009 Model Predictive Direct Torque Control Part I: Concept, Algorithm, and Analysis Tobias Geyer, Member, IEEE, Georgios Papafotiou,
More informationEM Simulations using the PEEC Method - Case Studies in Power Electronics
EM Simulations using the PEEC Method - Case Studies in Power Electronics Andreas Müsing Swiss Federal Institute of Technology (ETH) Zürich Power Electronic Systems www.pes.ee.ethz.ch 1 Outline Motivation:
More informationSelected paper. Consistent circuit technique for zero-sequence currents evaluation in interconnected single/three-phase power networks
Diego Bellan 1,*, Sergio A. Pignari 1, Gabrio Superti- Furga 2 J. Electrical Systems Special issue AMPE2015 Selected paper Consistent circuit technique for zero-sequence currents evaluation in interconnected
More informationSufficient Conditions for the Existence of Resolution Complete Planning Algorithms
Sufficient Conditions for the Existence of Resolution Complete Planning Algorithms Dmitry Yershov and Steve LaValle Computer Science niversity of Illinois at rbana-champaign WAFR 2010 December 15, 2010
More informationSunita.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,
More informationParameter Prediction and Modelling Methods for Traction Motor of Hybrid Electric Vehicle
Page 359 World Electric Vehicle Journal Vol. 3 - ISSN 232-6653 - 29 AVERE Parameter Prediction and Modelling Methods for Traction Motor of Hybrid Electric Vehicle Tao Sun, Soon-O Kwon, Geun-Ho Lee, Jung-Pyo
More informationVerteilte modellprädiktive Regelung intelligenter Stromnetze
Verteilte modellprädiktive Regelung intelligenter Stromnetze Institut für Mathematik Technische Universität Ilmenau in Zusammenarbeit mit Philipp Braun, Lars Grüne (U Bayreuth) und Christopher M. Kellett,
More informationProblems in VLSI design
Problems in VLSI design wire and transistor sizing signal delay in RC circuits transistor and wire sizing Elmore delay minimization via GP dominant time constant minimization via SDP placement problems
More informationModeling Capacitor Commutated Converters in Power System Stability Studies
IEEE/PES Summer Meeting, July 2002. Published in Transactions on Power Systems, May 2002. Modeling Capacitor Commutated Converters in Power System Stability Studies Sergio Gomes Jr. (CEPEL) Nelson Martins
More informationA simple model based control of self excited induction generators over a wide speed range
ISSN 1 746-7233, England, UK World Journal of Modelling and Simulation Vol. 10 (2014) No. 3, pp. 206-213 A simple model based control of self excited induction generators over a wide speed range Krishna
More informationAdaptive Fuzzy Logic Power Filter for Nonlinear Systems
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 78-1676,p-ISSN: 30-3331, Volume 11, Issue Ver. I (Mar. Apr. 016), PP 66-73 www.iosrjournals.org Adaptive Fuzzy Logic Power Filter
More informationBasics of reinforcement learning
Basics of reinforcement learning Lucian Buşoniu TMLSS, 20 July 2018 Main idea of reinforcement learning (RL) Learn a sequential decision policy to optimize the cumulative performance of an unknown system
More informationPosition Controller for PMSM Based on Finite Control Set Model Predictive Control
http://dx.doi.org/10.5755/j01.eie..6.1717 Position Controller for PMSM Based on Finite Control Set Model Predictive Control Vior Slapak 1 Karol Kyslan 1 Frantisek Durovsky 1 1 Department of Electrical
More informationIterative Learning Control Analysis and Design I
Iterative Learning Control Analysis and Design I Electronics and Computer Science University of Southampton Southampton, SO17 1BJ, UK etar@ecs.soton.ac.uk http://www.ecs.soton.ac.uk/ Contents Basics Representations
More informationAlexander M. Weinger CONTROLLED AC DRIVES
Alexander M. Weinger CONTROLLED AC DRIVES Shortened introductory course Moscow 28 CONTENTS 1. MAIN REQUIREMENTS TO CONTROLLED ELECTRIC DRIVES AND THEIR MAIN FEATURES... 5 1.1. Definition of a controlled
More informationPMU-Based Power System Real-Time Stability Monitoring. Chen-Ching Liu Boeing Distinguished Professor Director, ESI Center
PMU-Based Power System Real-Time Stability Monitoring Chen-Ching Liu Boeing Distinguished Professor Director, ESI Center Dec. 2015 Real-Time Monitoring of System Dynamics EMS Real-Time Data Server Ethernet
More informationA Unified Approach to the Design of Interpolated and Frequency Response Masking FIR Filters
A Unified Approach to the Design of Interpolated and Frequency Response Masking FIR Filters Wu Sheng Lu akao Hinamoto University of Victoria Hiroshima University Victoria, Canada Higashi Hiroshima, Japan
More informationLecture 7: Linear-Quadratic Dynamic Programming Real Business Cycle Models
Lecture 7: Linear-Quadratic Dynamic Programming Real Business Cycle Models Shinichi Nishiyama Graduate School of Economics Kyoto University January 10, 2019 Abstract In this lecture, we solve and simulate
More informationEE C128 / ME C134 Feedback Control Systems
EE C128 / ME C134 Feedback Control Systems Lecture Additional Material Introduction to Model Predictive Control Maximilian Balandat Department of Electrical Engineering & Computer Science University of
More informationNonlinear control of power converters for HVDC applications
Nonlinear control of power converters for HVDC applications Morten Hovd and Mohsen Vatani Workshop on Distributed Energy Management Systems Washington DC, April 22, 215 2 Table of Contents Modular Multilevel
More informationA 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
More informationAnalytical Closed-Form Investigation of PWM Inverter Induction- Motor Drive Performance under DC-Bus Voltage Pulsation
7th WSEAS International Conference on Electric Power Systems, High Voltages, Electric Machines, Venice, Italy, November -, 007 7 Analytical Closed-Form Investigation of PWM Inverter Induction- Motor Drive
More informationSynthesis of Nonlinear Control of Switching Topologies of Buck-Boost Converter Using Fuzzy Logic on Field Programmable Gate Array (FPGA)
Journal of Intelligent Learning Systems and Applications, 2010, 2: 36-42 doi:10.4236/jilsa.2010.21005 Published Online February 2010 (http://www.scirp.org/journal/jilsa) Synthesis of Nonlinear Control
More informationFEEDBACK AND STABILITY
FEEDBCK ND STBILITY THE NEGTIVE-FEEDBCK LOOP x IN X OUT x S + x IN x OUT Σ Signal source _ β Open loop Closed loop x F Feedback network Output x S input signal x OUT x IN x F feedback signal x IN x S x
More informationSensorless 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.
More informationUNIT - III PART A. 2. Mention any two techniques for digitizing the transfer function of an analog filter?
UNIT - III PART A. Mention the important features of the IIR filters? i) The physically realizable IIR filters does not have linear phase. ii) The IIR filter specification includes the desired characteristics
More informationTEPZZ A T EP A2 (19) (11) EP A2 (12) EUROPEAN PATENT APPLICATION. (51) Int Cl.: H02M 7/483 ( )
(19) TEPZZ 7849 6A T (11) EP 2 784 926 A2 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: 01..14 Bulletin 14/40 (1) Int Cl.: H02M 7/483 (07.01) (21) Application number: 14162389.2 (22) Date
More informationContinuous Mass Measurement in Checkweighers and Conveyor Belt Scales
Continuous Mass Measurement in Checkweighers and Conveyor Belt Scales Takanori YAMAZAKI*, Yoshiharu SAKURAI**, Hideo OHNISHI*** Masaaki KOBAYASHI***, Shigeru KUROSU** *Tokyo Metropolitan College of Technology,
More informationarxiv: v2 [cs.sy] 29 Mar 2016
Approximate Dynamic Programming: a Q-Function Approach Paul Beuchat, Angelos Georghiou and John Lygeros 1 ariv:1602.07273v2 [cs.sy] 29 Mar 2016 Abstract In this paper we study both the value function and
More informationSmall Data, Mid data, Big Data vs. Algebra, Analysis, and Topology
Small Data, Mid data, Big Data vs. Algebra, Analysis, and Topology Xiang-Gen Xia I have been thinking about big data in the last a few years since it has become a hot topic. On most of the time I have
More informationModeling Buck Converter by Using Fourier Analysis
PIERS ONLINE, VOL. 6, NO. 8, 2010 705 Modeling Buck Converter by Using Fourier Analysis Mao Zhang 1, Weiping Zhang 2, and Zheng Zhang 2 1 School of Computing, Engineering and Physical Sciences, University
More informationISSN: (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:
More informationHOW TO DEAL WITH ELECTROMAGNETIC DISTURBANCES CAUSED BY NEW INVERTER TECHNOLOGIES CONNECTED TO PUBLIC NETWORK
HOW TO DEAL WITH ELECTROMAGNETIC DISTURBANCES CAUSED BY NEW INVERTER TECHNOLOGIES CONNECTED TO PUBLIC NETWORK Xavier YANG EDF R&D - France xavier.yang@edf.fr Ludovic BERTIN EDF R&D - France ludovic-g.bertin@edf.fr
More informationIron core loss calculation with QuickField
Iron core loss calculation with QuickField Vladimir Podnos, Director of Marketing and Support, Tera Analysis Ltd. Alexander Lyubimtsev Support Engineer Tera Analysis Ltd. QuickField Analysis Options Magnetic
More informationFundamentals of Electric Circuits, Second Edition - Alexander/Sadiku
Chapter 3, Problem 9(8). Find V x in the network shown in Fig. 3.78. Figure 3.78 Chapter 3, Solution 9(8). Consider the circuit below. 2 Ω 2 Ω -j 8 30 o I j 4 j 4 I 2 -j2v For loop, 8 30 = (2 j4)i ji 2
More informationDiscrete Time Signals and Switched Capacitor Circuits (rest of chapter , 10.2)
Discrete Time Signals and Switched Capacitor Circuits (rest of chapter 9 + 10.1, 10.2) Tuesday 16th of February, 2010, 0, 9:15 11:45 Snorre Aunet, sa@ifi.uio.no Nanoelectronics Group, Dept. of Informatics
More informationA New Unsupervised Event Detector for Non-Intrusive Load Monitoring
A New Unsupervised Event Detector for Non-Intrusive Load Monitoring GlobalSIP 2015, 14th Dec. Benjamin Wild, Karim Said Barsim, and Bin Yang Institute of Signal Processing and System Theory of,, Germany
More informationPart II Converter Dynamics and Control
Part II Converter Dynamics and Control 7. AC equivalent circuit modeling 8. Converter transfer functions 9. Controller design 10. Ac and dc equivalent circuit modeling of the discontinuous conduction mode
More informationChapter 7 DC-DC Switch-Mode Converters
Chapter 7 DC-DC Switch-Mode Converters dc-dc converters for switch-mode dc power supplies and dc-motor drives 7-1 Block Diagram of DC-DC Converters Functional block diagram 7-2 Stepping Down a DC Voltage
More informationECE1750, Spring Week 11 Power Electronics
ECE1750, Spring 2017 Week 11 Power Electronics Control 1 Power Electronic Circuits Control In most power electronic applications we need to control some variable, such as the put voltage of a dc-dc converter,
More informationMathematical 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,
More informationCBE495 LECTURE IV MODEL PREDICTIVE CONTROL
What is Model Predictive Control (MPC)? CBE495 LECTURE IV MODEL PREDICTIVE CONTROL Professor Dae Ryook Yang Fall 2013 Dept. of Chemical and Biological Engineering Korea University * Some parts are from
More informationValue and Policy Iteration
Chapter 7 Value and Policy Iteration 1 For infinite horizon problems, we need to replace our basic computational tool, the DP algorithm, which we used to compute the optimal cost and policy for finite
More informationSolution to Tutorial 5 Isolated DC-DC Converters & Inverters
ELEC464 University of New South Wales School of Electrical Engineering & Telecommunications Solution to Tutorial 5 Isolated DC-DC Converters & Inverters. i D O d T The maximum value of L m which will ensure
More informationAn Application to Growth Theory
An Application to Growth Theory First let s review the concepts of solution function and value function for a maximization problem. Suppose we have the problem max F (x, α) subject to G(x, β) 0, (P) x
More informationA 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,
More informationStability Analysis of Single-Phase Grid-Feeding Inverters with PLL using Harmonic Linearisation and Linear Time Periodic (LTP) Theory
Stability Analysis of Single-Phase Grid-Feeding Inverters with PLL using Harmonic Linearisation and Linear Time Periodic (LTP) Theory Valerio Salis, Alessandro Costabeber, Pericle Zanchetta Power Electronics,
More informationSimple hardware implementation of voltage balancing in capacitor-clamped inverter
Simple hardware implementation of voltage balancing in capacitor-clamped inverter Petr Kokeš, Radko Semerád Abstract. The basic principle of voltage balancing in capacitor-clamped voltage source inverters
More informationDESIGN AND IMPLEMENTATION OF SENSORLESS SPEED CONTROL FOR INDUCTION MOTOR DRIVE USING AN OPTIMIZED EXTENDED KALMAN FILTER
INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 ISSN 0976 6464(Print)
More informationPower Electronics
Prof. Dr. Ing. Joachim Böcker Power Electronics 3.09.06 Last Name: Student Number: First Name: Study Program: Professional Examination Performance Proof Task: (Credits) (0) (0) 3 (0) 4 (0) Total (80) Mark
More informationA Stable Block Model Predictive Control with Variable Implementation Horizon
American Control Conference June 8-,. Portland, OR, USA WeB9. A Stable Block Model Predictive Control with Variable Implementation Horizon Jing Sun, Shuhao Chen, Ilya Kolmanovsky Abstract In this paper,
More informationTheory in Model Predictive Control :" Constraint Satisfaction and Stability!
Theory in Model Predictive Control :" Constraint Satisfaction and Stability Colin Jones, Melanie Zeilinger Automatic Control Laboratory, EPFL Example: Cessna Citation Aircraft Linearized continuous-time
More informationDIRECT 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
More informationFast Model Predictive Control with Soft Constraints
European Control Conference (ECC) July 7-9,, Zürich, Switzerland. Fast Model Predictive Control with Soft Constraints Arthur Richards Department of Aerospace Engineering, University of Bristol Queens Building,
More informationInternet Monetization
Internet Monetization March May, 2013 Discrete time Finite A decision process (MDP) is reward process with decisions. It models an environment in which all states are and time is divided into stages. Definition
More informationMARKOV DECISION PROCESSES (MDP) AND REINFORCEMENT LEARNING (RL) Versione originale delle slide fornita dal Prof. Francesco Lo Presti
1 MARKOV DECISION PROCESSES (MDP) AND REINFORCEMENT LEARNING (RL) Versione originale delle slide fornita dal Prof. Francesco Lo Presti Historical background 2 Original motivation: animal learning Early
More informationImprovement of an Existing Method of Asynchronous Sampling for Determining RMS Value
SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. 5, No., February 208, 3-28 UDC: 59.243:53.08]:004.942 DOI: https://doi.org/0.2298/sjee8003m Improvement of an Existing Method of Asynchronous Sampling for
More informationECE7850 Lecture 7. Discrete Time Optimal Control and Dynamic Programming
ECE7850 Lecture 7 Discrete Time Optimal Control and Dynamic Programming Discrete Time Optimal control Problems Short Introduction to Dynamic Programming Connection to Stabilization Problems 1 DT nonlinear
More informationApproximate active fault detection and control
Approximate active fault detection and control Jan Škach Ivo Punčochář Miroslav Šimandl Department of Cybernetics Faculty of Applied Sciences University of West Bohemia Pilsen, Czech Republic 11th European
More informationChalmers Publication Library
Chalmers Publication Library Trajectory Etension Methods for Model Predictive irect Torque Control This document has been downloaded from Chalmers Publication Library (CPL). It is the author s version
More informationHilbert Transformator IP Cores
Introduction Hilbert Transformator IP Cores Martin Kumm December 27, 28 The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude
More information