Implementation of reactive power-based MRAS for sensorless speed control of brushless doubly fed reluctance motor drive

被引：27
作者：
Kiran, Karuna [1 ]
Das, Sukanta [1 ]
机构：
[1] Indian Sch Mines, Dept Elect Engn, Indian Inst Technol, Dhanbad, Bihar, India
来源：
IET POWER ELECTRONICS | 2018年 / 11卷 / 01期
关键词：
sensorless machine control; reactive power; model reference adaptive control systems; reluctance motor drives; stators; Popov criterion; brushless machines; reactive power-based MRAS; sensorless speed control; brushless doubly fed reluctance motor drive; model reference adaptive system; speed estimation; low-cost BDFR motor drive; machine parameter variations; sensorless speed estimation strategies; stator resistance variations; Popov hyperstability criteria; speed control performance; real-time implementation; dSPACE-1103-based BDFR machine prototype; power; 1; 6; kW; REFERENCE ADAPTIVE CONTROLLER; VECTOR CONTROL; ROTOR RESISTANCE; SYSTEM; IDENTIFICATION; PARAMETER; MACHINES; TORQUE;
D O I：
10.1049/iet-pel.2017.0104
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：
The present work introduces the concept of classical reactive power (Q)-based model reference adaptive system (MRAS) for the speed estimation and control of low-cost BDFR motor drive. The reasons behind such choice for this drive's control are: (i) MRAS-based controllers can inherently take care of the machine parameter variations which had been a challenging issue with the other available sensorless speed estimation strategies and (ii) the employment of Q as a functional candidate inevitably makes the formulation immune to the variations in stator resistance. The experimental assessment, in this respect, confirms these claims. Furthermore, the analytical validation of Popov's hyperstability criteria on the proposed controller, confirms the drive's overall stability within the investigated speed control range. The speed control performance is examined in MATLAB/Simulink. The simulation results are further validated by a real-time implementation using dSPACE-1103-based 1.6kW BDFR machine prototype.
引用
收藏
页码：192 / 201
页数：10
相关论文
共 33 条
[21]   Model reference adaptive controller-based rotor resistance and speed estimation techniques for vector controlled induction motor drive utilizing reactive power [J].
Maiti, Suman ;
Chakraborty, Chandan ;
Hori, Yoichi ;
Ta, Minh C. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (02) :594-601
[22]   A stable back-EMF MRAS-based sensorless low-speed induction motor drive insensitive to stator resistance variation [J].
Rashed, M ;
Stronach, AF .
IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS, 2004, 151 (06) :685-693
[23]  
Rind SJ, 2015, 2015 50TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC)
[24]   ADAPTIVE SPEED IDENTIFICATION FOR VECTOR CONTROL OF INDUCTION-MOTORS WITHOUT ROTATIONAL TRANSDUCERS [J].
SCHAUDER, C .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1992, 28 (05) :1054-1061
[25]  
Song WK, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), P509, DOI 10.1109/ICIT.2014.6894992
[26]  
Ta C., 27 ANN C IEEE IND EL, V2, P1417
[27]   A New Formulation of Reactive-Power-Based Model Reference Adaptive System for Sensorless Induction Motor Drive [J].
Teja, A. V. Ravi ;
Verma, Vimlesh ;
Chakraborty, Chandan .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (11) :6797-6808
[28]   A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives [J].
Teja, A. V. Ravi ;
Chakraborty, Chandan ;
Maiti, Suman ;
Hori, Yoichi .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 59 (10) :3757-3767
[29]   Variable structure control of a wind energy conversion system based on a brushless doubly fed reluctance generator [J].
Valenciaga, Fernando ;
Puleston, Paul F. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2007, 22 (02) :499-506
[30]  
Vas P., 1998, Sensorless vector and direct torque control
1234