A Measurement-Based Approach for Speed Control of Induction Machines

被引:8
作者
Fnaiech, Mohamed Amine [1 ]
Khadraoui, Sofiane [1 ]
Nounou, Hazem N. [1 ]
Nounou, Mohamed N. [2 ]
Guzinski, Jaroslaw [3 ]
Abu-Rub, Haitham [1 ]
Datta, Aniruddha [4 ]
Bhattacharyya, Shankar P. [4 ]
机构
[1] Texas A&M Univ Qatar, Dept Elect & Comp Engn, Doha 23874, Qatar
[2] Texas A&M Univ Qatar, Dept Chem Engn, Doha 23874, Qatar
[3] Gdansk Univ Technol, Fac Elect & Control Engn, PL-80952 Gdansk, Poland
[4] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
关键词
Closed-loop transfer function; frequency response; induction machine; measurement-based control; unknown linear time invariant systems; unknown mechanical model; DIRECT TORQUE CONTROL; SENSORLESS; OBSERVER; PHASE;
D O I
10.1109/JESTPE.2014.2298613
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents an approach to design a measurement-based controller for induction machines. The proposed control approach is motivated by the fact that developing an appropriate mechanical model of such induction machines is a challenging task. Since our proposed control methodology is only on the basis of measured data, the controller design does not require any information about the model of the mechanical part. The control of motor drive is often based on sensorless field-oriented control techniques because of their advantages such as noise and cost reductions and high reliability. Hence, we assume here that measurements used for the controller design are collected using an estimator based on the electrical equations of the induction machine. A practical application to control the speed of an induction machine is presented to validate and demonstrate the efficiency of the proposed method.
引用
收藏
页码:308 / 318
页数:11
相关论文
共 31 条
[1]  
Abu-Rub H., 2012, HIGH PERFORMANCE CON
[2]  
Astrom K.J., 1995, INSTRUMENT SOC AM
[3]  
ASTROM KJ, 1984, AUTOMATICA, V20, P645, DOI 10.1016/0005-1098(84)90014-1
[4]  
Bode H. W., 1945, NETWORK ANAL FEEDBAC
[5]   MRAS Speed Observer for High-Performance Linear Induction Motor Drives Based on Linear Neural Networks [J].
Cirrincione, Maurizio ;
Accetta, Angelo ;
Pucci, Marcello ;
Vitale, Gianpaolo .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2013, 28 (01) :123-134
[6]   Sliding-mode MRAS speed estimators for sensorless vector control of induction machine [J].
Comanescu, M ;
Xu, LY .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2006, 53 (01) :146-153
[7]   Towards data-based adaptive control [J].
Datta, Aniruddha ;
Layek, Ritwik ;
Nounou, Hazem ;
Nounou, Mohamed ;
Mohsenizadeh, Navid ;
Bhattacharyya, Shankar P. .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2013, 27 (1-2) :122-135
[8]   Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors [J].
Davari, S. Alireza ;
Khaburi, Davood Arab ;
Wang, Fengxiang ;
Kennel, Ralph M. .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2012, 27 (07) :3424-3433
[9]   An MRAS Observer for Sensorless DFIM Drives With Direct Estimation of the Torque and Flux Rotor Current Components [J].
Dezza, Francesco Castelli ;
Foglia, Gianmaria ;
Iacchetti, Matteo Felice ;
Perini, Roberto .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2012, 27 (05) :2576-2584
[10]   MRAS Sensorless Vector Control of an Induction Motor Using New Sliding-Mode and Fuzzy-Logic Adaptation Mechanisms [J].
Gadoue, Shady M. ;
Giaouris, Damian ;
Finch, John W. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2010, 25 (02) :394-402