信息与控制2017，Vol.46Issue(3)：350-357,8.DOI:10.13976/j.cnki.xk.2017.0350
基于改进广义预测控制算法的无刷直流电机控制仿真
Simulation of Brushless DC Motor Control Based on an Improved Generalized Predictive Control Algorithm
摘要
Abstract
The brushless DC motor (BLDCM) has a large speed tracking error during the load operation process, and the motor′s performance is affected by load uncertainty.To solve these problems, we propose an improved generalized predictive control (GPC) algorithm for BLDCM control.We design a BLDCM control system and simulate the system based on the BLDCM model from the dSPACE ASM software.Simulation results show that the steady-state accuracy is 0.5 r/min when the motor reaches the steady state of 200 r/min from stillness, and the greatest speed fluctuation is 1.5 r/min when motor is disturbed by a sinusoidal load with 1 Nm amplitude.Compared with the conventional proportion-integral-derivative (PID) control and sliding mode control, the designed controller decreases the speed fluctuation to lower than 3.3%.Thus, the improved GPC algorithm controller can restrain the load disturbance effectively and improve the system speed tracking precision.关键词
广义预测控制/dSPACE/无刷直流电机模型/调速/负载扰动Key words
generalized predictive control (GPC)/dSPACE/BLDCM model/speed regulation/load disturbance分类
信息技术与安全科学引用本文复制引用
张帆,张向文..基于改进广义预测控制算法的无刷直流电机控制仿真[J].信息与控制,2017,46(3):350-357,8.基金项目
国家自然科学基金资助项目(51465011) （51465011）
广西区自然科学基金资助项目(2014GXNSFAA118377) （2014GXNSFAA118377）
桂林电子科技大学研究生教育创新计划资助项目(2016YJCX30) （2016YJCX30）
智能综合自动化广西高校重点实验室基金资助项目 （）
