Design of Nonlinear Optimization PID Controller for BLDCM Based on Neuro-Fuzzy Identified Model

A nonlinear optimization PID controller for BLDCM is designed. The design method is based on the fuzzy model for BLDCM other than conventional math model on some assumed conditions. The fuzzy model is gained through neuro-fuzzy identification. By virtue of nonlinear control design (NCD) toolbox in Matlab the controller is easily developed. Simulation and experiment result that the identified model fits the real BLDCM well and the designed controller has fairly strong robust performance