Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

In this paper, two kinds of observer-based sensorless predictive torque control methods are proposed. The predictive method is based on examining feasible voltage vectors (VVs) in a prescribed cost function. The VV that minimizes the cost function is selected. A novel robust prediction model is pres...

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Published in	IEEE transactions on power electronics Vol. 27; no. 7; pp. 3424 - 3433
Main Authors	Davari, S. A., Khaburi, D. A., Fengxiang Wang, Kennel, R. M.
Format	Journal Article
Language	English
Published	New York, NY IEEE 01.07.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects	A.c. Machines Applied sciences Comparative analysis Electric currents Electrical engineering. Electrical power engineering Electrical machines Electronics Exact sciences and technology General (including economical and industrial fields) Induction motor Mathematical model observer Observers Predictive models predictive torque control Regulation and control Rotors sensorless drive Simulation Stators Testing. Reliability. Quality control Torque Torque control Cost minimization sensorless drive Sliding mode Feedback regulation Asynchronous motor Induction motor Ac motor Feedback High speed Observer Cost function Control method Predictive control Control system Sensorless control predictive torque control Experimental study Motor control Forecasting Torque control System simulation Economic aspect Reduced order model Comparative study Gain
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ISSN	0885-8993 1941-0107
DOI	10.1109/TPEL.2011.2179812

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Abstract	In this paper, two kinds of observer-based sensorless predictive torque control methods are proposed. The predictive method is based on examining feasible voltage vectors (VVs) in a prescribed cost function. The VV that minimizes the cost function is selected. A novel robust prediction model is presented. The prediction model includes sliding mode feedbacks. The feedback gains are assigned by the H-inf method. Two kinds of observers are applied for flux and speed estimation, i.e., sliding mode full order observer and reduced order observer. In order to verify the proposed method, simulation and experimental results are presented in wide speed range. A comparison of the two methods is performed based on the results.
AbstractList	In this paper, two kinds of observer-based sensorless predictive torque control methods are proposed. The predictive method is based on examining feasible voltage vectors (VVs) in a prescribed cost function. The VV that minimizes the cost function is selected. A novel robust prediction model is presented. The prediction model includes sliding mode feedbacks. The feedback gains are assigned by the H-inf method. Two kinds of observers are applied for flux and speed estimation, i.e., sliding mode full order observer and reduced order observer. In order to verify the proposed method, simulation and experimental results are presented in wide speed range. A comparison of the two methods is performed based on the results. In this paper, two kinds of observer-based sensorless predictive torque control methods are proposed. The predictive method is based on examining feasible voltage vectors (VVs) in a prescribed cost function. The VV that minimizes the cost function is selected. A novel robust prediction model is presented. The prediction model includes sliding mode feedbacks. The feedback gains are assigned by the H-inf method. Two kinds of observers are applied for flux and speed estimation, i.e., sliding mode full order observer and reduced order observer. In order to verify the proposed method, simulation and experimental results are presented in wide speed range. A comparison of the two methods is performed based on the results. [PUBLICATION ABSTRACT]
Author	Kennel, R. M. Davari, S. A. Khaburi, D. A. Fengxiang Wang
Author_xml	– sequence: 1 givenname: S. A. surname: Davari fullname: Davari, S. A. email: adavari@iust.ac.ir organization: Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran – sequence: 2 givenname: D. A. surname: Khaburi fullname: Khaburi, D. A. email: khaburi@iust.ac.ir organization: Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran – sequence: 3 surname: Fengxiang Wang fullname: Fengxiang Wang email: fengxiang.wang@tum.de organization: Inst. for Electron. Drive Syst. & Power Electron., Tech. Univ. Munchen, Munich, Germany – sequence: 4 givenname: R. M. surname: Kennel fullname: Kennel, R. M. email: ralph.kennel@tum.de organization: Inst. for Electron. Drive Syst. & Power Electron., Tech. Univ. Munchen, Munich, Germany
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Keywords	Cost minimization sensorless drive Sliding mode Feedback regulation Asynchronous motor Induction motor Ac motor Feedback High speed Observer Cost function Control method Predictive control Control system Sensorless control predictive torque control Experimental study Motor control Forecasting Torque control System simulation Economic aspect Reduced order model Comparative study Gain
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SubjectTerms	A.c. Machines Applied sciences Comparative analysis Electric currents Electrical engineering. Electrical power engineering Electrical machines Electronics Exact sciences and technology General (including economical and industrial fields) Induction motor Mathematical model observer Observers Predictive models predictive torque control Regulation and control Rotors sensorless drive Simulation Stators Testing. Reliability. Quality control Torque Torque control
Title	Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors
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