SENSORLESS DIRECT TORQUE CONTROL OF RUSHLESS AC MACHINE USING LUENBERGER OBSERVER

Similar documents
ISSN: [Basnet* et al., 6(3): March, 2017] Impact Factor: 4.116

Sensorless PM Brushless Drives

Direct Torque Control of Saturated Induction Machine with and without speed sensor

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

Representation of a Group of Three-phase Induction Motors Using Per Unit Aggregation Model A.Kunakorn and T.Banyatnopparat

Sensorless speed control including zero speed of non salient PM synchronous drives

Open Access Study of Direct Torque Control Scheme for Induction Motor Based on Torque Angle Closed-Loop Control. Xuande Ji *, Daqing He and Yunwang Ge

A Novel Direct Torque Control Scheme for Induction Machines With Space Vector Modulation

Experimental Direct Torque Control Induction Motor Drive with Modified Flux Estimation and Speed control Algorithm.

Massachusetts Institute of Technology Dynamics and Control II

An Improved Flux Observer for Sensorless Permanent Magnet Synchronous Motor Drives with Parameter Identification

Performance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drive by Considering Magnetic Saturation

II. DYNAMIC MACHINE MODEL OF AN INDUCTION MOTOR

Direct Torque Control using Matrix Converters

DIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR USING FUZZY LOGIC SPEED CONTROLLER FOR STEADY/DYNAMIC STATE RESPONSE

Low Pass Filtering Based Artificial Neural Network Stator Flux Estimator for AC Induction Motors

Section Induction motor drives

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays

Basic parts of an AC motor : rotor, stator, The stator and the rotor are electrical

State Space: Observer Design Lecture 11

Dynamic Simulation of a Three-Phase Induction Motor Using Matlab Simulink

Estimation of Temperature Rise in Stator Winding and Rotor Magnet of PMSM Based on EKF

Simulation and Analysis of Linear Permanent Magnet Vernier Motors for Direct Drive Systems

PARAMETER IDENTIFICATION OF PERMANENT-MAGNET SYNCHRONOUS MOTORS FOR SENSORLESS CONTROL

Direct Torque Control for Induction Motor Using Fuzzy Logic

A Simplified Methodology for the Synthesis of Adaptive Flight Control Systems

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

µ-analysis OF INDIRECT SELF CONTROL OF AN INDUCTION MACHINE Henrik Mosskull

Chapter 9: Controller design. Controller design. Controller design

Sensorless Speed Control including zero speed of Non Salient PM Synchronous Drives Rasmussen, Henrik

Permanent Magnet Synchronous Motors Direct Torque Control Considering the Effect of Salient Pole

CONTROL OF INTEGRATING PROCESS WITH DEAD TIME USING AUTO-TUNING APPROACH

An Experimental Examination of a Fuzzy Logic- Based DTC Scheme

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505)

Comparison of Hardware Tests with SIMULINK Models of UW Microgrid

Direct Torque Tracking PI-Controller Design for Switched Reluctance Motor Drive using Singular Perturbation Method

Simplified EKF Based Sensorless Direct Torque Control of Permanent Magnet Brushless AC Drives

Advanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment

MATHEMATICAL MODELING OF INDUCTION MOTORS

VARIABLE speed drive systems are essential in

Fractional-Order PI Speed Control of a Two-Mass Drive System with Elastic Coupling

No-load And Blocked Rotor Test On An Induction Machine

Axial Unbalanced Magnetic Force in a Permanent Magnet Motor Due to a Skewed Magnet and Rotor Eccentricities

Fault Tolerant Direct Torque Control of Three-Phase Permanent Magnet Synchronous Motors

Sliding Mode Control of a Dual-Fuel System Internal Combustion Engine

A Novel Start-Up Scheme of Stator Flux Oriented Vector Controlled Induction Motor Drive Without Torque Jerk

The Influence of the Load Condition upon the Radial Distribution of Electromagnetic Vibration and Noise in a Three-Phase Squirrel-Cage Induction Motor

Digital Implementation of Full-Order Flux Observers for Induction Motors

Saliency Modeling in Radial Flux Permanent Magnet Synchronous Machines

Implementation of Field Oriented Speed Sensorless Control of Induction Motor Drive

Digital Control System

What lies between Δx E, which represents the steam valve, and ΔP M, which is the mechanical power into the synchronous machine?

Optimal MRAS Speed Estimation for Induction Generator in Wind Turbine Application

15 Problem 1. 3 a Draw the equivalent circuit diagram of the synchronous machine. 2 b What is the expected synchronous speed of the machine?

Modeling and Simulation of a Two-Mass Resonant System with Speed Controller

An analysis of the self-excited torsional vibrations of the electromechanical drive system

A Comparative Study on Control Techniques of Non-square Matrix Distillation Column

USING NONLINEAR CONTROL ALGORITHMS TO IMPROVE THE QUALITY OF SHAKING TABLE TESTS

Robust Decentralized Design of H -based Frequency Stabilizer of SMES

S_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS

A modified load angle based DTC-SVM scheme for three-phase induction motors

POWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL

Synchronous Machines - Structure

715. Transients in the electromagnetic actuator with the controlled supplier

LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax:

Improvement of Transient Stability of Power System by Thyristor Controlled Phase Shifter Transformer

NONLINEAR CONTROLLER DESIGN FOR A SHELL AND TUBE HEAT EXCHANGER AN EXPERIMENTATION APPROACH

Sensorless PMSM Field Oriented Control Solution Based on TI Cortex-M3

Analysis of Prevention of Induction Motors Stalling by Capacitor Switching

RECURSIVE LEAST SQUARES HARMONIC IDENTIFICATION IN ACTIVE POWER FILTERS. A. El Zawawi, K. H. Youssef, and O. A. Sebakhy

Robust Non-Linear Direct Torque and Flux Control of Adjustable Speed Sensorless PMSM Drive Based on SVM Using a PI Predictive Controller

Analysis of Step Response, Impulse and Ramp Response in the Continuous Stirred Tank Reactor System

Induction Motor Drive

Torque Ripple minimization techniques in direct torque control induction motor drive

ABSTRACT- In this paper, a Shunt active power filter (SAPF) is developed without considering any harmonic detection

Experimental Verification of Optimal Sliding Mode Controllers for Hoisting Cranes

BASIC INDUCTION MOTOR CONCEPTS

FRTN10 Exercise 3. Specifications and Disturbance Models

A Simple Approach to Synthesizing Naïve Quantized Control for Reference Tracking

Improving Power System Transient Stability with Static Synchronous Series Compensator

Simulink Implementation of Induction Machine Model A Modular Approach

GNSS Solutions: What is the carrier phase measurement? How is it generated in GNSS receivers? Simply put, the carrier phase

SERIES COMPENSATION: VOLTAGE COMPENSATION USING DVR (Lectures 41-48)

Module 4: Time Response of discrete time systems Lecture Note 1

Lqr Based Load Frequency Control By Introducing Demand Response

STATE RETENTION OF AN INVERTED PENDULUM

Homework 12 Solution - AME30315, Spring 2013

Design By Emulation (Indirect Method)

ECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances

ECEN620: Network Theory Broadband Circuit Design Fall 2018

Question 1 Equivalent Circuits

Bahram Noshad Department of Electrical Engineering, Bandar Deylam Branch, Islamic Azad University, Bandar Deylam, Iran.

LOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM. P.Dickinson, A.T.Shenton

Lecture Set 8 Induction Machines

A Method for Assessing Customer Harmonic Emission Level Based on the Iterative Algorithm for Least Square Estimation *

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty

THE growing penetration of ac motor drives into commercial,

An estimation approach for autotuning of event-based PI control systems

Transcription:

5-8 JATIT. All right reerved. SENSORLESS DIRECT TORQUE CONTROL OF RUSHLESS AC MACHINE USING LUENBERGER OBSERVER 1 Khalil. Nabti, K. Abed, H. Benalla 1, Student, Prof. Department of Electrical Engineering, Faculty of Engineering Science, Ain El Bey, Contantine, 5ALGERIA E-mail: Idor6@yahoo.fr, Khoudir.abed@Lapote.net, benalladz@yahoo.fr ABSTRACT The enorle DTC of Bruhle AC (BLAC machine uing Luenberger oberver i propoed in thi paper. In Direct Torque Control (DTC, accurate rotor poition information i not eential. The peed i etimated by Luenberger oberver, which ued to improve the performance of dynamic tracking and accuracy of the whole ytem. The peed regulation i realized by a conventional PI regulator. Simulation reult how mall overhooting and good dynamic of the peed and torque, low ripple in torque and flux. So we verify the effectivene of the propoed oberver to monitor the drive. Keyword: Senorle BLAC, Direct Torque Control, Luenberger Oberver, PI regulator. 1. INTRODUCTION The PMSM control difficulty reide in the coupling of control variable uch a flux and electromagnetic torque. Two principal trategie were developed almot at the ame time in two different reearch center, Direct Torque Control trategy wa firt introduced by I. Takahahi, in 1986 [1]. M. Depenbrock, develop a imilar idea in 1988 under the name of Direct Self Control []. The DTC i one of the recent reearche control cheme which are baed on the decoupled control of tator flux and torque providing a quick and robut repone with a imple implementation in AC drive. DTC ha the advantage of implicity, good dynamic performance, and inenitive to motor parameter except the tator reitance. In DTC trategy the peed enor i not eential for the flux and torque etimation. Baically Direct Torque Control employ two hyterei controller to regulate the tator flux and torque, which reult in approximate decoupling between the flux and the torque control. The key iue of DTC deign i how to chooe the uitable tator voltage vector to keep the tator flux and torque in their hyterei band. The principal diadvantage of conventional DTC are: the high torque ripple and the low tranient repone during tart-up and during load diturbance. In mot control cheme; cloed-loop control i baed on the meaurement of peed or poition of the motor uing an encoder. However, in ome cae it i difficult to ue enor for peed meaurement. There are everal diadvantage of encoder uch a higher number of connection between motor and it driver, additional cot, uceptibility to noie and vibration, extra pace, volume and weight on the motor. Some technique were propoed in literature. Thee technique are generally baed on the tate oberver or Luenberger oberver [], MRAS method [4]-[5], and Kalman filter [6]-[7]. In Speed enorle trategie, the motor peed i etimated and ued a a feedback ignal for cloedloop peed control. In any control trategy we cannot obtain a much atifactory repone under the moment of inertia or load torque variation which generally happen, adding to enorle drive uing thi kind of oberver we can etimate the load torque and it variation which ued to ameliorate the performance of the whole ytem. Luenberger oberver i a pecial type of oberver which provide optimal etimation and high performance. Simulation reult howing that the method improve the Direct Torque Control ytem performance.. MOTOR EQUATIONS IN α,β REFERENCE FRAME In the tationary α-β reference frame, the motor model can be expreed a [8]: u u α β = R.i = R.i α β dψ + dψ + α β (1 75

5-8 JATIT. All right reerved. ψ α coθ r inθr ψ d =. ( ψ β inθ r coθr ψ q ψ d = Ld.i d + ψ m ( ψ = L.i q q q ψ α Ld.i α coθr = + ψ m. ψ β Lq.i β inθr The mechanical equation i given by: (4 dω 1 ( = p.i β L + ψ ω d Lq iα. m T L Bm J (5 If L d = L q, for mooth pole machine. The electromagnetic torque i given by: Tem = p.i β. ψ m (6 Where (uα, uβ, (iα, iβ and (ψα, ψβ are the tator voltage, tator current, and tator flux linkage in α, β reference frame, L d, L q are the d,q axe inductance, R i the tator reitance. ψ m i the flux linkage of permanent magnet, p i the number of pole pair, T em i the electromagnetic torque, T L i the load torque, B m i the damping coefficient, ω r i the rotor peed and J i the moment of inertia. From (7 we can etimate the tator flux a follow: ( v R.i ψ = + (1 ψ α β ψ = ψ + ψ (11 ψ i the tator flux vector, and ψ i it initial value. For implicity, it i aumed that the tator voltage drop R.i i mall and neglected, the tator flux variation can be expreed a: ψ V. t. The change of torque can be controlled by keeping the amplitude of the tator flux linkage contant and by controlling the rotating peed of the tator flux linkage a fat a poible. It' hown in thi ection that both the amplitude and rotating peed of the tator flux linkage can be controlled by electing a proper tator voltage vector a hown in figure 1. The primary voltage vector V, i defined by the equation (8. DIRECT TORQUE CONTROL PRINCIPLES Flux and torque etimation and control In tationary reference frame, the machine tator voltage pace vector i repreented a follow: dψ V = R i + (7 π 4π j = + = j + V + uα j.uβ VaN VbN e VcN e (8 Where: R, i, ψ tator reitance, current and flux repectively. V an, V bn, V cn the three phae voltage inverter output are given a follow: U c VaN = Va = ( C1 C C U c (9 VbN = Vb = ( C C1 C U c VcN = Vc = ( C C C1 Uc i the inverter DC upply voltage, C1, C, C are the witching table output, and they are relevant to the witching trategy. Figure.1. Stator flux variation in tationary (α, β frame In DTC technique, the inverter witche are controlled uing the flux and torque error, and the poition of the tator flux within the ix-region control of the motor. The flux and torque error are evaluated a follow: Δ ψ = ψ ref ψ (1 Δ T = T ref T em (1 1 ψ β θ = tg (14 ψ α Where θ i the angle between tator flux vector and α axi, ψ α, ψ β are the tator flux component in (α, β reference frame. Switching table: In order to determine the inverter witching pattern uing flux and torque error, for the flux and torque control two hyterei controller are employed. The inverter i witched baed on thee 76

5-8 JATIT. All right reerved. error and poition of the tator flux within the ixregion control a can be een from Table 1, in uch a way that the inverter output voltage vector minimize the flux and torque error and determine the out-put flux rotation direction of thee controller. Table.1. DTC witching table n 1 4 5 6 Flux Couple K Cem =1 V V V 4 V 5 V 6 V 1 K ψ =1 K Cem = V 7 V V 7 V V 7 V K ψ = K Cem =-1 V 6 V 1 V V V 4 V 5 K Cem =1 V V 4 V 5 V 6 V 1 V K Cem = V V 7 V V 7 V V 7 K Cem =-1 V 5 V 6 V 1 V V V 4 4. CONTROL STRUCTURE Figure ( illutrate the BLAC drive cheme conidered in thi invetigation. The drive conit of a Luenberger oberver for peed etimation, flux and torque controller, pace flux poition, and bruhle AC machine. The rotor peed w r i compared with the reference peed w ref. The reulting error i proceed in the PI peed controller for each ampling interval. The output of thi i conidered to be the reference torque T ref. Figure.. A direct torque control cheme 5. SPEED ESTIMATION USING CONVENTIONAL APPROACH Since a tator flux-linkage i required in order to implement direct torque control, the etimation of rotor peed from a tator flux-linkage i common. After calculating equation (1, the angular poition of the tator flux-linkage vector can be obtained a in [6] and [9]: ψ β θ = arctan (15 ψ α Therefore, the rotational peed of the tator flux linkage i given a: ( k θ ( k 1 dθ θ ω = (16 T Where θ(k and θ(k 1 repreent the poition of the tator flux-linkage vector at ample time t k and t k 1 repectively and T = (t k t k 1. 6. SPEED ESTIMATION USING LUENBERGER OBSERVER The objective here i to ue a peed oberver in order to delete all mechanical enor. We etimate the rotation peed and load torque uing the meaured current and voltage, and the peed etimated by claical method. In the tator flux reference frame, the developed torque i: [1]-[11] T em =.p. ψ m. i β (17 Where i β i the quadrate component of the tator current vector, ψ i the tator flux magnitude, and p i the number of pole pair. From (5 and (17 dω 1 =.p.( ψ i T B. m L m J β ω (18 dtl = The econd order Luenberger oberver (hown in Figure i given by: [1] X & = A.X + BU. + L( Y Y (19 Y = C.X With: ω Xˆ = l1 ; T L = ( L l We have finally: d ω f 1 l ω J 1 J d = l T + T L L pψ m l (i 1 J +. ω β l claic (1 77

5-8 JATIT. All right reerved..5. Stator flux (Wb.15.1.5 Figure.. Principle Oberver diagram The matrix L determine how fat the imulation error approache zero and hould be choen carefully to achieve good tability and a nice repone of the oberver. 7. SIMULATION RESULTS To verify the technique propoed, digital imulation baed on MATLAB/SIMULINK have been implemented. The PMSM ued for the imulation ha the following parameter (preented in table [8]: Uc = 5[V], f = 5[Hz], R =.[Ω], Ld =.66[mH], Lq =.66[mH], J = 1.8e-5[Kg/m ], Bm = [Nm/rad/], ψ m =.776[V/rad/], p = 5. Conventional PI regulator coefficient: ki =.55; kp =1.441. For propoed method and conventional DTC the dynamic repone of peed, flux, and torque for the tarting proce without load Tl=, we applied a load torque equal to Tl=7Nm at.6, at t=1.7 we remove the load torque. We Invere the peed at t=1. Electromagnetic torque (N.m 1 1 8 6 4 - Oberved load torque (N.m.1...4.5.6.7.8.9 1 T( 1 1 8 6 4 - Figure.5. Stator flux repone. -4.1...4.5.6.7.8.9 1 t( Figure.6. Oberved load torque uing Luenberger oberver. Real load torque (N.m 1 1 8 6 4 - -4.1...4.5.6.7.8.9 1 T( Figure.7. Real load torque. -4-6.1...4.5.6.7.8.9 1 T( Figure.4. Electromagnetic torque repone. 78

5-8 JATIT. All right reerved. Rotation peed (rad/ 15 1 5-5 -1-15.1...4.5.6.7.8.9 1 T( Figure.8. Rotation peed oberved uing Luenberger oberver. Figure 8 repreent the robutne and dynamic repone of the peed oberved uing Luenberger oberver with the tep change of reference. The comparion between claical etimated peed and the peed oberved i hown in figure 9. Rotation peed (rad/ 15 1 5-5 -1-15.1...4.5.6.7.8.9 1 T( Figure.9. Comparion between claical etimated peed and oberved Speed uing Luenberger oberver (dahed line. For Luenberger oberver method good dynamic repone in peed without overhooting in tarting and inverion, we oberve an influence of load diturbance and at the inverion in torque repone a hown in figure 4. No influence oberved in flux repone when load diturbance application and at the inverion a een in figure 5. The oberved load toque hown in figure 6 i imilar to the real load torque applied figure 7 with a mall overhooting in tranient repone. Figure 9 how that Luenberger oberver method give very fat repone and good dynamic comparing with claical method. 8. CONCLUSION In thi paper, Senorle direct torque control cheme uing two type of peed etimator, one i baed on the angle of the tator flux linkage; the other i baed on Luenberger oberver for peed and load torque etimation are preented. The imulation reult how that both method can well etimate the peed of the bruhle AC machine; the firt method make the elected voltage vector incorrect, the motor unteady. The peed etimator that i baed on Luenberger oberver can make the motor tart teadily and have good dynamic. Compared to the enorle baed on the angle of tator flux linkage, the econd method decreae coniderably the ripple of both torque and flux. The cheme of peed etimator baed on Luenberger oberver i proved by the imulation that it i imple and eay to implement in enorle DTC ytem of uper high-peed of BLAC machine. REFERENCES [1] I. Takahahi, and T. Noguchi, A new quickrepone and high- efficiency control trategy of an induction machine. IEEE Tranaction on Indutry Application. (5, 8-87, 1986. [] M. Depenbrock. Direct elf-control (DSC of inverter-fed induction machine. IEEE Tranaction on Power Electronic. (4, 4-49, 1988. [] C. Youn-Ok; L. Kang-Yeon; S. Kang-Sung; K. Gi-Bum; J. Byung-Ho; C. Geum-Bae; B. Hyung-Lae; J. Sam-Yong. Performance analyi of the DTC uing a cloed loop tator flux oberver for induction motor in the low peed range. Electrical Machine and Sytem, ICEMS 1. Proceeding of the Fifth International Conference on Volume 1, 18- Aug. 1 Page(:89-9. [4] T. Zhuohui; L. Yongdong; J.Zhiyan. Speed enorle DTC and parameter etimation of induction motor baed on a full-order MRAS method. Power Electronic and Motion Control Conference. Proceeding IPEMC. Volume, 15-18 Aug. Page(:1 16. [5] L. Zhen, L. Xu. Senorle field orientation control of induction machine baed on a mutual MRAS cheme. Indutrial Electronic, IEEE Tranaction on Volume 45, Iue 5, Oct. 1998 Page(:84 81. 79

5-8 JATIT. All right reerved. [6] L. Yong, Z. Zi-Qiang, H. David. Simplified EKF Baed Senorle Direct Torque Control of Permanent Magnet Bruhle AC Drive. International Journal of Automation and Computing Volume 1, Number 1/ October 4. [7] K.L. Shi; T.F. Chan; Y.K. Wong; S.L. Ho. Speed etimation of an induction motor drive uing extended Kalman filter. Power Engineering Society Winter Meeting,. IEEE, Volume 1, Iue, Page(:4 48. [8] Xi Zhu, Z. Zi-Qiang., and H. David. Application of full-order and implified EKF to enorle PM bruhle AC machine. International journal of automation and computing, 179-186, 5. [9] B. Chunyuan R, Shuangyan M, Liangyu. Senorle DTC of Super High-peed PMSM. Automation and Logitic, 7 IEEE STATES OF THE ARTS In thi table we preent the tate of the art of enor le control, and no paper tudied enorle DTC International Conference on, Publication Date 18-1 Aug. 7, page(: 6-64 [1] L. Critian, T. Andrzej. M. Combining the Principle of Sliding Mode, Direct Torque Control, and Space-Vector Modulation in a High-Performance Senorle AC Drive. Indutry Application Conference,. 7th IAS Annual Meeting. Conference Record of the Volume, Iue 1, Page(: 7 79. [11] L. Critian, B. Ion, B. Frede. Direct Torque Control of Senorle Induction Motor Drive: A Sliding-Mode Approach. Indutry Application, IEEE Tranaction on Volume 4, Iue, March-April 4 Page(: 58 59. [1] R. Ghon (1. Contrôle vectoriel de la machine aynchrone à rotor bobiné à double alimentation. Thei for a doctoral degree, LEEI-INSEEIHT, Touloue. of BLAC machine uing Luenberger oberver which confirm the originality of thi idea. [1] R. Ghon (1. Contrôle vectoriel de la machine aynchrone à rotor bobiné à double alimentation. Thei for a doctoral degree, LEEI-INSEEIHT, Touloue. [] L. Yong, Z. Zi-Qiang, H. David. Simplified EKF Baed Senorle Direct Torque Control of Permanent Magnet Bruhle AC Drive. International Journal of Automation and Computing Volume 1, Number 1/ October 4. [] A.R. Haron, N.R.N. Idri,. ''Simulation of MRASbaed peed enorle etimation of induction motor drive uing MATLAB/SIMULINK''. Power and Energy Conference, 6 PECon '6 IEEE International 8-9 Nov. 6 Page(:411 415. [4] B. Chunyuan R, Shuangyan M, Liangyu. Senorle DTC of Super High-peed PMSM. Automation and Logitic, 7 IEEE International Conference on, Publication Date 18-1 Aug. 7, page(: 6-64. In thi thei, peed enorle control of indirect field oriented for doubly fed induction machine drive i tudied. Several kind of peed etimator are preented; one i baed on the angle of the rotor flux linkage. In the econd method the tator flux baed MRAS (SF- MRAS i ued for etimating the rotor peed. nd order Leunberger oberver i the third method tudied, in where the reference peed i etimated by SF-MRAS method. A implified extended Kalman filter (EKF baed enorle direct torque control technique for bruhle AC machine i preented. It performance i compared with that obtained with other enorle method for etimating the rotor peed and poition from a tator flux-linkage. In thi work, the performance of the rotor flux baed MRAS (RF-MRAS and back e.m.f baed MRAS (BEMF-MRAS for etimating the rotor peed wa tudied. The object tudied in thi invetigation i the uper high-peed permanent magnet ynchronou microturbine generator. Two kind of peed etimator are preented, one i baed on the angle of the tator flux linkage; the other i baed on the angle of the rotor flux linkage. 7