摘要
通过研究电动汽车中无刷直流电机(BLDCM)负载运行时电机的性能与负载之间的密切关系,针对BLDCM调速应用,提出了一种改进广义预测控制的算法。通过对仿真模型中的BLDCM的数学模型分析,建立BLDCM的控制系统并进行仿真研究。仿真结果表明:当采用改进广义预测算法,与以往的PID控制算法相比,BLDCM的负载稳态精度以及最大转速波动都得到明显的改善,具有响应快、控制精度高,电机负载抗干扰能力强等特点,BLDCM可满足电动汽车行驶中BLDCM运行的要求。
By studying the close relationship between the motor performance and the load during brushless DC motor（ BLDCM） operation in electric vehicle,aiming at the application of BLDCM,an improved generalized predictive control algorithm was proposed. By analyzing the mathematical model of BLDCM in simulation model,the control system of BLDCM was established and simulated. The simulation results showed that,compared with the traditional PID control algorithm,the load steady-state accuracy and maximum speed fluctuation of BLDCM could be significantly improved when the improved generalized prediction algorithm was adopted. The method had the advantages of fast response,high control precision,Interference ability and other characteristics. Therefore,this simulation control model could meet the requirements of BLDCM running in electric vehicle.
作者
柳振
郭庆
徐翠锋
LIU Zhen;GUO Qing;XU Cuifeng(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China)
出处
《电机与控制应用》
2018年第7期102-108,115,共8页
Electric machines & control application
基金
广西自动检测技术与仪器重点实验室2017年度主任基金(YQ17112)
桂林市科学研究与技术开发计划项目(20170113-15)
厦门大学水声通信与海洋信息技术教育部重点实验室开放课题(201601)
关键词
广义预测控制
无刷直流电机模型
控制系统
generalized predictive control
brushless DC motor model
control system
