Simulation Study on Fuzzy PID Controller for DC Motor Based on DSP

Abstract

For the nonlinearity and time-varying model of DC motor speed control system, the non-optimum problems are brought by offline setting parameters of traditional PID controller, an improved fuzzy PID controller algorithm based on DSP is proposed. With current feedback error and error change rate as input variables of fuzzy controller, PID parameters are optimized on-line by the fuzzy PID controller with self- setting parameters. With DSP development system as simulation platform, separately excited DC motor transfer function transformation as difference equation, a digital closed-loop simulation system of separately excited DC motor based on fuzzy PID controller is set up. On-line simulation is carried out by DSP high speed operation ability. The output waveforms of system generated by traditional PID controller and fuzzy PID controller are observed. CCS(Code composer Studio) 2.0 simulation tests show that an improved fuzzy PID controller realizes zero overshot essentially, the rise time and adjusted time of system step response is smaller than traditional PID controller's. System performances are markedly higher than traditional PID controller by applying a fuzzy PID controller to the separately excited DC motor speed system.