基于遗传算法的154T电动车牵引励磁PID控制器的设计  

Design of Towing Excitation PID Controllers for 154T Motor Dump Trucks Based on Genetic Algorithms

作　　者：谭建豪[1] 章兢[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《湖南大学学报（自然科学版）》2007年第1期33-36,共4页Journal of Hunan University:Natural Sciences

基　　金：教育部科学技术研究重点项目(教技司[2001]224号)

摘　　要：讨论了154T电动轮自卸车牵引励磁控制的基本问题;分析了传统PID控制器的不足和基于遗传算法PID控制器的优势;论述了遗传算法的原理、基本问题和实现步骤.研究了电动轮自卸车的牵引特性和牵引励磁控制系统的结构,根据设计,该系统被控对象可简化为二阶系统,而控制器采用基于遗传算法的PID控制.用MATLAB对PID参数整定进行了仿真,以考察利用遗传算法的进化能力优化PID的效果.仿真结果表明,经过遗传算法优化的PID控制器具有较高的精度和较强的适应性,能获得满意的控制效果.The basic problems of towing excitation for 154T motor dump trucks were discussed. The weakness of traditional PID controllers and the advantage of PID controllers based on genetic algorithms were analyzed, and the principles, basic problems and realizing procedures of genetic algorithms were expounded. The towing characteristics and the structure of the towing excitation control system were investigated. And according to the design, the controlled object could be simplified as a two-order system, and the controller adopted PID control based on genetic algorithms. By means of MATLAB, the simulation of PIE） parameter setting was earfled out in order to investigate the effect of PID control with the evolution ability of genetic algorithms used. The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.

关 键 词：遗传算法 PID控制器 参数整定 154T电动车 牵引励磁 

分 类 号：TU375[建筑科学—结构工程]