DocumentCode :
3248351
Title :
Hybrid Model Reference Adaptive Fuzzy Controller
Author :
Patil, Nitin J. ; Chile, Rajan H. ; Waghmare, Laxman M.
Author_Institution :
Dept. of Instrum. Eng., D.N. Patel Coll. of Eng., Shahada, India
fYear :
2009
fDate :
16-18 Dec. 2009
Firstpage :
698
Lastpage :
703
Abstract :
This paper describes a hybrid controller combining a Model Reference Fuzzy Controller (MRFC) and Simple fuzzy logic control (FLC) for vector controlled permanent magnet synchronous motor (PMSM) is described. First, an MRFC system is designed to allow the plant states to follow the states produced by a reference model. The input to fuzzy controller is model error, which is the error between reference model and plant output. In the nominal conditions, the model following is perfect and the adaptive mechanism based on the fuzzy logic is idle. Secondly, when parameter variations or external disturbances occur, an augmented signal will be generated by Simple FLC mechanism to preserve the desired model following control performance. The effectiveness and robustness of the proposed controller is demonstrated by simulation results and quadratic performance criteria.
Keywords :
fuzzy control; machine vector control; model reference adaptive control systems; permanent magnet motors; synchronous motors; FLC mechanism; MRFC system; PMSM; adaptive mechanism; controller robustness; fuzzy logic; hybrid model reference adaptive fuzzy controller; permanent magnet synchronous motor; quadratic performance criteria; Adaptive control; Automatic control; Control systems; Fuzzy control; Fuzzy logic; Instruments; Mathematical model; Programmable control; Robust control; Torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2009 2nd International Conference on
Conference_Location :
Nagpur
Print_ISBN :
978-1-4244-5250-7
Electronic_ISBN :
978-0-7695-3884-6
Type :
conf
DOI :
10.1109/ICETET.2009.118
Filename :
5395465
Link To Document :
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