ĐIỀU KHIỂN PI MỘT NƠ-RON KẾT HỢP BỘ NHẬN DẠNG MẠNG NƠ-RON RBF ÁP DỤNG TRÊN ĐỘNG CƠ KHÔNG ĐỒNG BỘ BA PHA

Abstract

This study aims to propose a control structure using RBF neural network identifier combined with a one-neural PI controller (so-called PI-RBF controller), applying to speed control of a 3-phase induction motor that is nonlinear and complex with several model parameters. The main objective of the algorithm is to control motor speed reaching the desired speed in a short response time, reducing overshoot and steady-state error. To meet that requirement, online training algorithms for RBF-PI controller has been used. The Investigating of induction motor responses when changing the set speed and load torque has been also carried out. Simulation results show that the control system is stable and robust even under the affecting of disturbances.