Robust speed estimation of an induction motor under the conditions of rotor time constant variability due to the rotor deep-bar effect

被引:2
作者
Rolek, Jaroslaw [1 ]
Utrata, Grzegorz [2 ]
Kaplon, Andrzej [1 ]
机构
[1] Kielce Univ Technol, Dept Ind Elect Engn & Automat Control, 7 Tysiaclecia Panstwa Polskiego Ave, PL-25314 Kielce, Poland
[2] Czestochowa Tech Univ, Fac Elect Engn, 17 Armii Krajowej Ave, PL-42200 Czestochowa, Poland
关键词
deep-bar effect; estimation; induction motors; motor drives; SENSORLESS CONTROL; IDENTIFICATION; OBSERVERS; DRIVES; STATOR;
D O I
10.24425/aee.2020.133028
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
Accurate information on Induction Motor (IM) speed is essential for robust operation of vector controlled IM drives. Simultaneous estimation of speed provides redundancy in motor drives and enables their operation in case of a speed sensor failure. Furthermore, speed estimation can replace its direct measurement for low-cost IM drives or drives operated in difficult environmental conditions. During torque transients when slip frequency is not controlled within the set range of values, the rotor electromagnetic time constant varies due to the rotor deep-bar effect. The model-based schemes for IM speed estimation are inherently more or less sensitive to variability of IM electromagnetic parameters. This paper presents the study on robustness improvement of the Model Reference Adaptive System (MRAS) based speed estimator to variability of IM electromagnetic parameters resulting from the rotor deep-bar effect. The proposed modification of the MRAS-based speed estimator builds on the use of the rotor flux voltage-current model as the adjustable model. The verification of the analyzed configurations of the MRAS-based speed estimator was performed in the slip frequency range corresponding to the IM load adjustment range up to 1.30 of the stator rated current. This was done for a rigorous and reliable assessment of estimators' robustness to rotor electromagnetic parameter variability resulting from the rotor deep-bar effect. The theoretical reasoning is supported by the results of experimental tests which confirm the improved operation accuracy and reliability of the proposed speed estimator configuration under the considered working conditions in comparison to the classical MRAS-based speed estimator.
引用
收藏
页码:319 / 333
页数:15
相关论文
共 50 条
[31]   Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor drive [J].
Laamari, Yahia ;
Chafaa, Kheireddine ;
Athamena, Belkacem .
ELECTRICAL ENGINEERING, 2015, 97 (02) :129-138
[32]   Simultaneous estimation of speed and rotor resistance in sensorless induction motor vector controlled drive [J].
Thongam, J.S. ;
Ouhrouche, M. ;
Haghgoeian, F. ;
Ezzaidi, H. .
International Journal of Modelling and Simulation, 2007, 27 (04) :369-378
[33]   Parallel Estimation of Rotor Resistance and Speed for Sensorless Vector Controlled Induction Motor Drive [J].
Diab, Ahmed A. Zaki ;
Khaled, Ahmed ;
Elwany, Mahmoud A. ;
Hassaneen, Barakat M. .
2016 17TH INTERNATIONAL CONFERENCE OF YOUNG SPECIALISTS ON MICRO/NANOTECHNOLOGIES AND ELECTRON DEVICES (EDM), 2016, :389-394
[34]   A novel induction motor IRFOC with on-line parameter estimation taking into account thermal and deep-bar effects [J].
Durán, MJ ;
Durán, JL ;
Pérez, F ;
Fernández, J .
PROCEEDINGS OF THE IEEE-ISIE 2004, VOLS 1 AND 2, 2004, :435-440
[35]   Design of a Pseudo-MRAS Sliding Mode Observer with Double Feedback for Estimation of the Rotor Time Constant of the Induction Motor [J].
Comanescu, Mihai .
2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2017, :270-275
[36]   Detection of induction motor broken rotor bar faults under no load condition by using support vector machines [J].
Arabaci, Hayri ;
Mohamed, Mohamed Ali .
INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS, 2021, 9 (05) :470-486
[37]   An Improved MRAS for Rotor Time Constant Updating in Induction Motor Drives Utilizing Dot Product of Stator Current and Rotor Flux [J].
Zhang, Xing ;
Zhang, Yuwei ;
Yang, Shuying ;
Xie, Zhen ;
Cao, Pengpeng .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2019, 34 (09) :8905-8915
[38]   A Sensor-less Speed Control of Induction Motor Based on Robust Rotor Flux Observer [J].
Farhani, Fethi ;
Zaafouri, Abderrahmen ;
Chaari, Abdelkader .
2013 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND SOFTWARE APPLICATIONS (ICEESA), 2013, :280-285
[39]   Demodulation Technique for Broken Rotor Bar Detection in Inverter-Fed Induction Motor Under Non-Stationary Conditions [J].
Alberto Garcia-Calva, Tomas ;
Morinigo-Sotelo, Daniel ;
Garcia-Perez, Arturo ;
Camarena-Martinez, David ;
de Jesus Romero-Troncoso, Rene .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (03) :1496-1503
[40]   Real-time implementation of MRAS rotor time constant estimation for induction motor vector control based on a new adaptation signal [J].
Omari, Aymen ;
Khalil, Bousserhane Ismail ;
Hazzab, Abdeldjebar ;
Bouchiba, Bousmaha ;
Benmohamed, Fayssal ElYamani .
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 38 (01) :287-303