摘要
模拟原动机仿真系统中的速度电流综合调节器实质为PI调节器,其参数一直以来都是依靠传统方法来确定的,这种方法不但耗时费力,而且很难寻求到一组理想的参数。通过引入免疫遗传算法来快速取得优化参数,提高效率。通过具体实例,运用MATLAB仿真试验,对传统方法和免疫算法所得到的控制效果进行比较,试验结果证明,应用免疫遗传算法能够快速优化确定PI参数,并且使原动机仿真系统的动态特性更好。
In the prime mover simulation system, parameters of the PI regulator are always confirmed with traditional methods,which consume much time and are hard to get ideal parameters. This paper proposed an immune generic algorithm to quickly obtain the PI regulator optimal parameter in the prime mover simulation system. By an example with MATLAB, we compared the control effect between the traditional method and the immune generic algorithm. The results prove that immune generic algorithm can fix the PI parameters quickly, and enable the prime mover simulation system to have a better dynamic characteristic.
出处
《微特电机》
北大核心
2009年第8期23-25,29,共4页
Small & Special Electrical Machines
基金
湖南省自然科学基金资助项目(01JJY2106)
湖南省科技攻关项目资助(05GK3507)
湖南省教育厅科技项目资助(07D067)
