Optimization of Robust PID Controllers of Coordinated Control System Based on Genetic Algorithm

摘要：

It is proposed a parameter optimization method for a genetic algorithm based multivariable robust PID controller with respect to the boiler-turbine control system of a thermal power plant. By using set point tracking performance as optimization goal and robustness as constraint punishment condition, genetic algorithm can be used to optimize parameters of controllers. It shows from simulation that controllers designed by this paper have better load set point tracking performance compared with PID controllers obtained by reduction of robust H∞ controller and also have good robustness.

关键词： coordinated control system robustness PID control genetic algorithm

作者: XieXie Zeng Deliang Li Jizhen Liu Jiwei

作者单位: School of Control and Computer Engineering North China Electric Power University Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1797-1800

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）