IN the above paper [1] the local observability of the induction machine (IM) and the permanent

Similar documents
arxiv: v2 [math.ds] 23 Feb 2016

arxiv: v1 [math.ca] 9 Jan 2016

AC Induction Motor Stator Resistance Estimation Algorithm

Lecture 8: Sensorless Synchronous Motor Drives

Proceedings of the 6th WSEAS/IASME Int. Conf. on Electric Power Systems, High Voltages, Electric Machines, Tenerife, Spain, December 16-18,

Observability of Speed in an Induction Motor from Stator Currents and Voltages

A Novel Adaptive Estimation of Stator and Rotor Resistance for Induction Motor Drives

Sensorless Speed Control for PMSM Based On the DTC Method with Adaptive System R. Balachandar 1, S. Vinoth kumar 2, C. Vignesh 3

970 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 48, NO. 3, MAY/JUNE 2012

Speed Sensor less Control and Estimation Based on Mars for Pmsm under Sudden Load Change

Small-Signal Analysis of a Saturated Induction Motor

Lecture 7: Synchronous Motor Drives

Sliding-Mode Observer based Direct Torque Control of an IPM- Synchronous Motor Drive at Very Low Speed

Robust Speed Controller Design for Permanent Magnet Synchronous Motor Drives Based on Sliding Mode Control

Zero speed sensorless drive capability of fractional slot inset PM machine

Sensorless Torque and Speed Control of Traction Permanent Magnet Synchronous Motor for Railway Applications based on Model Reference Adaptive System

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

Sensorless Field Oriented Control of Permanent Magnet Synchronous Motor

Online multi-parameter estimation of interior permanent magnet motor drives with finite control set model predictive control

Wide Speed Direct Torque and Flux Controlled IPM Synchronous Motor Drive Using a Combined Adaptive Sliding Mode Observer and HF Signal Injection

Dynamic Modeling of Surface Mounted Permanent Synchronous Motor for Servo motor application

Angle-Sensorless Zero- and Low-Speed Control of Bearingless Machines

Parametric Variations Sensitivity Analysis on IM Discrete Speed Estimation

Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors

High Performance and Reliable Torque Control of Permanent Magnet Synchronous Motors in Electric Vehicle Applications

Hinkkanen, Marko; Repo, Anna-Kaisa; Luomi, Jorma Influence of magnetic saturation on induction motor model selection

Maximum Torque per Ampere and Maximum Efficiency Control Methods based on V/f Control for IPM Synchronous Motors

Indirect Field Orientation for Induction Motors without Speed Sensor

Towards an Improved Energy Efficiency of the Interior Permanent Magnet Synchronous Motor Drives

An adaptive sliding mode control scheme for induction motor drives

Sensorless Control for High-Speed BLDC Motors With Low Inductance and Nonideal Back EMF

Interconnection and Damping Assignment Approach for Reliable PM Synchronous Motor Control

Modeling of Direct Torque Control (DTC) of BLDC Motor Drive

II. Mathematical Modeling of

Optimization Design of a Segmented Halbach Permanent-Magnet Motor Using an Analytical Model

Evaluation Method to Estimate Position Control Error in Position Sensorless Control Based on Pattern Matching Method

Modelling of Closed Loop Speed Control for Pmsm Drive

Lecture 1: Induction Motor

Direct Flux Vector Control Of Induction Motor Drives With Maximum Efficiency Per Torque

2014 Texas Instruments Motor Control Training Series. -V th. Dave Wilson

A new FOC technique based on predictive current control for PMSM drive

Sensorless Sliding Mode Control of Induction Motor Drives

Robustness Analysis of a Position Observer for Surface Mount Permanent Magnet Synchronous Motors vis à vis Rotor Saliency

Simulation of Direct Torque Control of Induction motor using Space Vector Modulation Methodology

Sensorless PBC of induction motors: A separation principle from ISS properties

THE approach of sensorless speed control of induction motors

ECE 5670/6670 Lab 8. Torque Curves of Induction Motors. Objectives

Lecture 9: Space-Vector Models

LAB REPORT: THREE-PHASE INDUCTION MACHINE

Robust MRAS Speed Observer and an Improved Zero-speed Position Estimation Design for Surface Permanent Magnet Synchronous Motor

Backstepping Control with Integral Action of PMSM Integrated According to the MRAS Observer

PARAMETER SENSITIVITY ANALYSIS OF AN INDUCTION MOTOR

Modeling Free Acceleration of a Salient Synchronous Machine Using Two-Axis Theory

Speed Sensorless Field Oriented Control of Induction Machines using Flux Observer. Hisao Kubota* and Kouki Matsuse**

Kalman Filters Unifying Model-based and HF Injection-based Sensorless Control of PMSM Drives

Digital Object Identifier: /ICELMACH URL:

CHAPTER 2 MODELLING OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR

Study on Nonlinear Perpendicular Flux Observer for Direct-torque-controlled Induction Motor

Independent Control of Speed and Torque in a Vector Controlled Induction Motor Drive using Predictive Current Controller and SVPWM

A New Model Reference Adaptive Formulation to Estimate Stator Resistance in Field Oriented Induction Motor Drive

Chapter 5 Three phase induction machine (1) Shengnan Li

Impact of the Motor Magnetic Model on Direct Flux Vector Control of Interior PM Motors

PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR

International Journal of Advance Engineering and Research Development SIMULATION OF FIELD ORIENTED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR

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

Project 1: Analysis of an induction machine using a FEM based software EJ Design of Electrical Machines

Digitization of Vector Control Algorithm Using FPGA

Magnetic Saturation and Iron Loss Influence on Max Torque per Ampere Current Vector Variation of Synchronous Reluctance Machine

Implementation of Switching Instant Optimization on a Two-Level Inverter- Fed Induction Motor Drive Controlled using MPFC

STEADY STATE AND TRANSIENT ANALYSIS OF INDUCTION MOTOR DRIVING A PUMP LOAD

On-line Parameter Estimation Method for IPMSM Based on Decoupling Control

Four-Switch Inverter-Fed Direct Torque control of Three Phase Induction Motor

Wide-Speed Operation of Direct Torque-Controlled Interior Permanent-Magnet Synchronous Motors

Estimation of speed in linear induction motor drive by MRAS using neural network and sliding mode control

Three phase induction motor using direct torque control by Matlab Simulink

Tuovinen, Toni & Hinkkanen, Marko & Luomi, Jorma Modeling of Mutual Saturation in Induction Machines

Anakapalli Andhra Pradesh, India I. INTRODUCTION

A New Predictive Control Strategy Dedicated to Salient Pole Synchronous Machines

Torque Performance and Permanent Magnet Arrangement for Interior Permanent Magnet Synchronous Motor

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Electric Machines

DIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR USING FUZZY LOGIC

Spontaneous Speed Reversals in Stepper Motors

Unity Power Factor Control of Permanent Magnet Motor Drive System

Dynamic d-q Model of Induction Motor Using Simulink

An Adaptive Quasi-Sliding-Mode Rotor Position Observer-Based Sensorless Control for Interior Permanent Magnet Synchronous Machines

Robust Controller Design for Speed Control of an Indirect Field Oriented Induction Machine Drive

Analysis, Design, Implementation of Sensorless V/f control in a Surface Mounted PMSM without damper winding

Keywords: Electric Machines, Rotating Machinery, Stator faults, Fault tolerant control, Field Weakening, Anisotropy, Dual rotor, 3D modeling

Inductance Testing According to the New IEEE Std 1812 Application and Possible Extensions for IPM Machines

Analytical Model for Sizing the Magnets of Permanent Magnet Synchronous Machines

Power density improvement of three phase flux reversal machine with distributed winding

A Direct Torque Controlled Induction Motor with Variable Hysteresis Band

Mathematical Modelling of Permanent Magnet Synchronous Motor with Rotor Frame of Reference

Third harmonic current injection into highly saturated multi-phase machines

SPEED CONTROL OF PMSM BY USING DSVM -DTC TECHNIQUE

Research Article A Two-stage Kalman Filter for Sensorless Direct Torque Controlled PM Synchronous Motor Drive

DIRECT TORQUE CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING TWO LEVEL INVERTER- SURVEY PAPER

ADifferential-Algebraic Approach to Speed Estimation in an Induction Motor

Speed Sensorless Vector Control of Induction Motors Based on Robust Adaptive Variable Structure Control Law

SYNCHRONIZATION CRITERION OF CHAOTIC PERMANENT MAGNET SYNCHRONOUS MOTOR VIA OUTPUT FEEDBACK AND ITS SIMULATION

Transcription:

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1 Discussion on AC Drive Observability Analysis Mohamad Koteich, Student Member, IEEE, Abdelmalek Maloum, Gilles Duc and Guillaume Sandou arxiv:1512.01462v1 [cs.sy] 1 Dec 2015 Abstract In the paper by Vaclavek et al. (IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3047-3059, Aug. 2013), the local observability of both induction machine and permanent magnet synchronous machine under motion sensorless operation is studied. In this letter, the slowly varying speed assumption is discussed, and the permanent magnet synchronous machine observability condition at standstill is revisited. I. INTRODUCTION IN the above paper [1] the local observability of the induction machine (IM) and the permanent magnet synchronous machine (PMSM) is studied. Obviously, it is a very good paper as it has been referred to by many others since it was published [2] [3] [4]. To the best of our knowledge, it is the first paper that presents the PMSM observability conditions in the rotating reference frame, which provides useful explicit conditions. Manuscript received February 18, 2015; revised April 3, 2015; accepted May 2, 2015. Copyright c 2015 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org. Mohamad Koteich is with Renault S.A.S. Technocentre, 78288 Guyancourt, France, and also with L2S - CentraleSupélec - CNRS - Paris-Sud University, 91192 Gif-sur-Yvette, France (e-mail: mohamad.koteich@renault.com). Abdelmalek Maloum is with Renault S.A.S. Technocentre, 78288 Guyancourt, France (e-mail: abdelmalek.maloum@renault.com). Gilles Duc and Guillaume Sandou are with L2S - CentraleSupélec - CNRS - Paris-Sud University, 91192 Gif-sur-Yvette, France (e-mail: gilles.duc@centralesupelec.fr; guillaume.sandou@centralesupelec.fr).

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2 The observability analysis in [1] is restricted to the slowly varying speeds. This means that the obtained observability conditions for both machines are valid only under constant (or nearly constant) speed operating conditions. One can argue that this is not the case for a wide range of electrical drive applications. II. FURTHER REMARKS ON THE IM OBSERVABILITY It is worth mentioning that the IM observability study made by de Wit et al. [5] covers both cases: 1) constant speed, which leads to the 5 dimensional machine model adopted by [1], and 2) varying speed under slowly varying load torque assumption, which leads to a 6 dimensional model by adding the load torque to the state vector [6]. The only additional parameter needed in the second case is the rotor and load inertia, which can be fairly accurately known in numerous applications. The observability condition of the 6 dimensional model can be expressed, using the same notations as [1], as: ξ 2 dω e ωe 2 + ξ2 2 dt Ψ r.ψ r dψ r Ψ r 0 (1) dt One can design an observer for the IM under slowly varying speed operating conditions. In this case, the observability condition (1) becomes equivalent to the condition calculated for the 5 dimensional model (as discussed in [5]). This provides a more general IM local observability analysis. III. COMMENTS ON THE PMSM OBSERVABILITY The slowly varying speed assumption is not required in the PMSM observability analysis, where only the first order derivatives of the stator currents are evaluated. Thus, the PMSM observability conditions presented in [1] are valid for any rotor acceleration. The determinant of the observability matrix numbered (97) in the paper under discussion can be written as 1 : D = 1 [ ( Lid + K e ) 2 + L 2 i 2 q L d L q + L L d L q ] ωe [ L di d dt i q ( Li d + K e ) di q dt ] (2) 1 Symbolic math software is used to reproduce the determinant expression.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 3 In their analysis of the above equation, the authors in [1] formulate the following observability condition at standstill: i d + K e L C i q (3) They claim that it is not necessary to determine the value of the constant C, and that in the zero or low-speed region the rotor position will be observable if stator current components in rotating reference frame i d, i q are changing and not kept to be linearly dependent. Stator current space vector should change not only its magnitude but also direction in the rotating reference frame. The above conclusion is unclear and yet inaccurate. First of all, the conclusion should not only concern the rotor position, the rotor angular speed observability should also be concerned. Even though it seems to be intuitive that the loss of observability concerns rather the position, this cannot be proved unless a detailed study of the indistinguishable dynamics is done, similarly to the study done in [7] for induction machines. In addition, the stator current space vector can change both its magnitude and direction without ensuring the motor observability at standstill, as shown in the sequel. The observability condition D 0 can be written as: which gives: ω e ( Li d + K e ) L diq dt L di d dt Li q ( Li d + K e ) 2 + L 2 i 2 q ω e d dt arctan ( Liq Li d + K e Let s define a fictitious observability vector Ψ O = Ψ Od + jψ Oq which has the following components in the rotating (dq) reference frame: Then, the condition (5) can be formulated as: ) Ψ Od = Li d + K e (6) Ψ Oq = Li q (7) (4) (5) ω e d dt θ O (8) where θ O is the phase of the vector Ψ O in the rotating reference frame (Figure 1). The following sufficient condition for the PMSM local observability can be stated:

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 4 q β Ψ O Li q d θ O θ e K e Li d α Fig. 1. Vector diagram of the fictitious observability vector (dashed). Proposition 1: The PMSM is locally observable if the angular speed of the fictitious vector Ψ O in the dq reference frame is different from the rotor electrical angular speed in the stator reference frame. At standstill, the above condition becomes: the vector Ψ O should change its orientation in order to ensure the local observability. This provides a better formulation of the PMSM observability conditions. It turns out that the d axis component of the vector Ψ O is nothing but the so-called active flux introduced by Boldea et al. in [8] (also called fictitious flux by Koonlaboon et al. [9]), which is, by definition, the torque producing flux aligned to the rotor d axis. The q axis component of the vector Ψ O is related to the saliency ( L) of the machine, and is aligned to the rotor q axis. Figure 2 shows two observability vectors, Ψ O1 (dotted) and Ψ O2 (dashed), that correspond to two different (in magnitude and direction) current space vectors: i 1 = i d1 + ji q1 ; (i d1 < 0, i q1 > 0) (9) i 2 = i d2 + ji q2 ; (i d2 > 0, i q2 > 0) (10) It is obvious that, contrary to the conclusion drawn in [1] for the IPMSM, at standstill (ω e = 0), the stator current space vector can change both its magnitude and direction, following the constant-θ O trajectory, without fulfilling the observability condition (8). It should be noticed that this is related to the constant C of the equation (3), which value is judged to be unnecessary in the paper under discussion.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 5 q Ψ O2 Ψ O1 Li 1 Li 2 θ O K e d Fig. 2. Vector diagram illustrating two observability vectors that correspond to two stator current space vectors that differ in magnitude and direction. As for the surface-mounted (S) PMSM ( L = 0) under sensorless operation, the fictitious observability vector is equal to the rotor permanent magnet flux vector, which is fixed in the dq reference frame. This means that the observability problem arises only at standstill, which is consistent with the conclusion on SPMSM observability in the discussed paper [1]. ERRATUM In the list of references of [1], the reference number 17 is not correctly cited; the name of the first author is omitted. The correct citation is [10]. REFERENCES [1] P. Vaclavek, P. Blaha, and I. Herman, Ac drive observability analysis, IEEE Trans. Ind. Electron., vol. 60, pp. 3047 3059, Aug 2013. [2] G. Foo, X. Zhang, and D. Vilathgamuwa, A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended kalman filter, IEEE Trans. Ind. Electron., vol. 60, pp. 3485 3495, Aug 2013. [3] P. Alkorta, O. Barambones, J. Cortajarena, and A. Zubizarrreta, Efficient multivariable generalized predictive control for sensorless induction motor drives, IEEE Trans. Ind. Electron., vol. 61, pp. 5126 5134, Sept 2014. [4] L. Amezquita-Brooks, J. Liceaga-Castro, and E. Liceaga-Castro, Speed and position controllers using indirect field-oriented control: A classical control approach, IEEE Trans. Ind. Electron., vol. 61, pp. 1928 1943, April 2014. [5] C. de Wit, A. Youssef, J. P. Barbot, P. Martin, and F. Malrait, Observability conditions of induction motors at low frequencies, in Proc. 39th IEEE Conf. Decis. Control, vol. 3, pp. 2044 2049, 2000. [6] M. Barut, S. Bogosyan, and M. Gokasan, Speed-sensorless estimation for induction motors using extended kalman filters, IEEE Trans. Ind. Electron., vol. 54, pp. 272 280, Feb 2007.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 6 [7] S. Ibarra-Rojas, J. Moreno, and G. Espinosa-Pérez, Global observability analysis of sensorless induction motors, Automatica, vol. 40, no. 6, pp. 1079 1085, 2004. [8] I. Boldea, M. Paicu, and G. Andreescu, Active flux concept for motion-sensorless unified ac drives, IEEE Trans. Power Electron., vol. 23, pp. 2612 2618, Sept 2008. [9] S. Koonlaboon and S. Sangwongwanich, Sensorless control of interior permanent-magnet synchronous motors based on a fictitious permanent-magnet flux model, in Conf. Rec. IEEE IAS 2005 Annu. Meeting,, vol. 1, pp. 311 318, Oct 2005. [10] M. Li, J. Chiasson, M. Bodson, and L. Tolbert, Observability of speed in an induction motor from stator currents and voltages, in Proc. 44th IEEE Conf. Decis. Control, and European Control Conference, pp. 3438 3443, Dec 2005.