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STPI Controller of IPMSM Drive using Neural Network  

Ko, Jae-Sub (Sunchon University)
Choi, Jung-Sik (Sunchon University)
Chung, Dong-Hwa (Sunchon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.44, no.2, 2007 , pp. 24-31 More about this Journal
Abstract
This paper presents self tuning PI(STPI) controller of IPMSM drive using neural network. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness of fixed gain PI controller, STPI controller proposes a new method based neural network. STPI controller is developed to minimize overshoot, rise time and settling time following sudden parameter changes such as speed, load torque and inertia. Also, this paper is proposed speed control of IPMSM using neural network and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.
Keywords
IPMSM drive; Neural network; Self tuning PI controller; ANN;
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