Affiliations: Department of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Vietnam
Correspondence:
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Corresponding author. Ngoc Thuy Pham, Department of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Vietnam. E-mail: Ngocpham1020@gmail.com.
Abstract: This paper propose a novel Port Controlled Hamiltonian_Backstepping (PCH_BS) control structure with online tuned parameters, in combination with the modified Stator Current Model Reference Adaptive Syatem (SC_MRAS) based on speed and flux estimator using Neural Networks(NN) and sliding mode (SM) for sensorless vector control of the six phase induction motor (SPIM). The control design is based on combination PCH and BS techniques to improve its performance and robustness. The combination of BS_PCH controller with speed estimator can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and external load disturbances, enables very good static and dynamic performance of the sensorless drive system (perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation) in a wide speed range, and robust for the disturbances of the load, the speed variation and low speed. The proposed sensorless speed control scheme is validated through Matlab-Simulink. The simulation results verify the effectiveness of the proposed control and observer.
Keywords: Neural networks, sensorless vector control, six phase induction motor drive, stator current MRAS based on speed observer, backstepping control, port controlled hamiltonian
