A Novel FOC Vector Control Structure Using RBF Tuning PI and SM for SPIM Drives
Ngoc Pham, Thuan Duc Le
Abstract
This paper presents a new structure combining (RBF PI) RBF neural network tuning PI and (SM) Sliding Mode nonlinear control for the FOC vector control of the (SPIM) six phase induction motor drives. In this new scheme, SM control is proposed for inner current loop to control better current of SPIM. The improved adaptive PI controller is proposed for outer speed loop, in this proposal, the mathematical model of SPIM has been identified via the RBF neural networks, and then the PI parameters can be optimized automatically to accommodate the characteristic variation of the process. The performance of the proposed speed control scheme is validated by Matlab-Simulink software. The obtained simulation results have confirmed that the torque and rotor flux ripples are significantly minimized for entire speed range. The proposed RBFNN based on PI _SM controller give accurate speed control, fast dynamics response, the performance, stability and robustness of SPIM drive system have been improved significantly.