摘要
该文提出了一种基于动态补偿原理和改进自适应遗传算法的大惯性系统辨识方法。易于实时在线处理,便于在过程控制等工业控制中应用。由于该算法综合考虑了“快速收敛”和“全局最优”两个要求,因此它不仅保证了算法的运算速度,而且能得到较好的辨识结果。仿真结果表明,该方法是有效的。
The paper puts forward the method of big inertia system identification based on dynamic compensation principle and improved self-adaptive genetic algorithms which is easily applied to on-line operation and process control and so on.Because this algorithm takes both“speedy convergence”and“overall optimization”into consideration,it not only guarantees its calculation speed but also gains better identification result.Simulation result shows that the method is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第19期62-64,共3页
Computer Engineering and Applications
基金
湖南省自然科学基金项目(编号:01JJY3029)
关键词
动态补偿
改进的自适应遗传算法
系统辨识
参数优化
Dynamic compensation,Improved self-adaptive genetic algorithm,System identification,Optimizing parameter
