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|Title:||PSO based online tuning of PI controller for estimation of rotor resistance of indirect vector controlled induction motor drive|
|Keywords:||Indirect Rotor flux Field Oriented Vector Control (IRFOC)|
Induction motor (IM)
Particle Swarm Optimization (PSO)
Proportional Integral (PI) controller
Reactive Power Model Reference Adaptive system (RPMRAS)
|Abstract:||In industries where the operating condition are stringent and which requires excellent dynamic and steady state performance, the most preferred drive is the three phase induction motor with indirect field oriented control. However, its performance is prone to variation in rotor resistance, which needs to be estimated online. Conventionally, the model reference adaptive system with proportional integral controllers is used as adaptation mechanism for estimation of rotor resistance. This mechanism works satisfactorily for one particular operating condition and invariably fails under variable operating condition. Therefore the need arises for an adaptive controller for robust response of a drive with parameter variation. In this paper, the particle swarm optimization based proportional integral controller was applied to estimate the variation in rotor resistance. The proposed system under study is implemented in MATLAB/Simulink environment. The results shows that the estimation of rotor resistance by the proposed controller under all motor operating condition is better than the conventional fixed gain proportional integral controller. � 2016 IEEE.|
|Appears in Collections:||Research Publications|
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