Title :
Fuzzy MRAS based speed estimation for sensorless stator field oriented controlled induction motor drive
Author :
Luo, Yung-Chang ; Lin, Cheng-Chou
Author_Institution :
Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
Abstract :
An on-line estimated synchronous speed control using fuzzy MRAS (model reference adaptive system) approach for the sensorless stator field oriented controlled induction motor drive is presented. The proposed skill is based on reactive power observer, in which the traditional PI adaptive mechanism is replaced by adaptive fuzzy ones in MRAS configuration. All the simulation and experimental programs are developed under MATLAB software with Simulink and Real-Time Workshop toolbox. Simulation and experimental results confirm the fuzzy MRAS based estimated speed method can improve the performance for the sensorless stator field oriented controlled induction motor drive, such as robust to parameters variation and fast speed response.
Keywords :
adaptive systems; fuzzy control; induction motor drives; model reference adaptive control systems; velocity control; MATLAB software; Simulink; fuzzy model reference adaptive system; induction motor drive; online estimated synchronous speed control; reactive power observer; real-time workshop toolbox; sensorless stator field; speed estimation; Adaptive systems; Fuzzy control; Fuzzy systems; Induction motor drives; Mathematical model; Power system modeling; Programmable control; Sensorless control; Stators; Velocity control; MRAS; fuzzy; induction motor; sensorless speed control;
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
DOI :
10.1109/3CA.2010.5533625