Parameter Optimization of PID Controllers Based on Genetic Algorithm

摘要：

A PID parameter optimization method based on genetic algorithm was presented in this paper. A performance index based on integral of absolute error, rise time, controller output and overshoot was given as an objective function of optimization, and genetic algorithm was applied to optimizing parameters of PID controllers. Simulation results indicate that genetic algorithm is a reasonable and effective method for parameter optimization of PID controllers.

作者: Hong Zhang Yuanhu Cai Yuchun Chen

作者单位: School of Power and Energy Northwest Polytechnical University Xian, China

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 47-49

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）