摘要
在PID参数的优化过程中,采用常规的整定方法,往往费时且难以满足控制要求。选取遗传算法来进行参数寻优,该方法是一种不需要任何初始信息并可以寻求全局最优解的、高效的优化组合方法。通过MATLAB仿真实验结果表明,该方法可以应用于多数控制系统,并能达到良好的控制效果。
PID parameters optimization uses conventional methods for setting, which usually is time-consuming and difficult to meet the requirements of control. Genetic algorithm is adopted to select the parameters optimization, which does not require any initial information and seeks solutions for the global optimum. ATLAB simulation results show that this method can be applied to the majority of control systems, and can achieve good control.
出处
《自动化博览》
2013年第3期100-103,共4页
Automation Panorama1
关键词
遗传算法
PID控制
参数优化
Genetic algorithms
PID control
Parameter optimization
