摘要
以汽车转向管柱疲劳试验机为研究对象,研究了所用加载电机的控制策略,包括矢量控制和SVPWM,搭建了整个测控系统的框架,将系统模型进行分解建模,构造了试验机测控系统的数学模型,并将搭建好的模型在MATLAB/Simulink中进行仿真。针对系统面对多种被测件参数时稳定裕度不足的问题,采取了PID控制方案进行解决,并且利用遗传算法强大的全局搜索能力找到了最优的PID参数值,增强了系统的鲁棒性和快速性。
The vehicle steering column fatigue testing machine is taken as the research object.The control strategy of the loaded motor,including vector control and SVPWM,is studied,the framework of the entire measurement and control system is set up,and the system model is decomposed and modeled.The mathematical model of the testing and control system of the testing machine is constructed,and simulated in MATLAB/Simulink.A PID control scheme is proposed to solve the problem that the system is faced with a variety of measured parameters when the stability margin is insufficient.And the optimal PID parameter value is found by using the strong global search ability of genetic algorithm,and the robustness and speed of the system is enhanced.
作者
李正元
麦云飞
段东海
宋煜霄
Li Zhengyuan;Mai Yunfei;Duan Donghai;Song Yuxiao(University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《农业装备与车辆工程》
2019年第9期65-68,共4页
Agricultural Equipment & Vehicle Engineering
作者简介
李正元(1995-),男,硕士研究生,研究方向:机械电子工程。E-mail:1457624362@qq.com。
