For many nonlinear factors which appear in the tracking system of Permanent Magnet Linear Synchronous Motor (PMLSM), the two hybrid controllers based on the radial basis function neural network were proposed, the hybrid neural network controllers were composed of PID controller and RBF neural network controller in series, and their structures depended on the series orders The two hybrid neural network controllers realized the nonlinear PID control, which possessed the ability of parameters self-tuning, simple structure and are easy to implement in the practice The experimental results showed the feasibility and effectiveness of the two hybrid controllers

Haoming Yang

Papers

Design of Hybrid Controllers Based on Radial Basis Function Neural Network