摘要
遗传算法相比传统调节方法具有更好的鲁棒性和最优性。结合锅炉动态水温单回路控制系统的PID参数整定与优化问题,采用遗传算法对其参数进行优化。仿真结果表明,这种优化算法加快了收敛速度,有效提高了系统的全局稳定性,增强了PID控制器的鲁棒性。
Genetic algorithm is better than the traditional control method in robustness and optimality.This paper combines the PID parameter tuning and optimization of the boiler dynamic water temperature single return route control system,optimalizes the parameter with genetic algorithm.The simulation result shows that this optimized algorithm accelerates the convergence,effectively improves the overall stability of system,and enhances the robustness of PID controller.
出处
《工业控制计算机》
2010年第9期59-60,共2页
Industrial Control Computer
关键词
遗传算法
PID控制
参数整定
优化
genetic algorithm
PID control
parameter tuning
optimization
