Parameters optimization of PID controller based on ACO-GA hybrid optimization strategy

摘要：

To overcome shortcoming of traditional PID controller parameters optimization with manual cut-and-try method, we absorb the merits of ant colony optimization algorithm and genetic algorithm, and present a new ACO-SA hybrid optimization strategy to optimize the parameters of PID controller. The simulation results show that the ACO-GA hybrid optimization strategy has excellent flexibility, adaptability and robustness on PID parameters optimization.

作者: Liu Shaowei Zhang Lin Wang Jie Han Huating Cheng Yongqiang

作者单位: Missile Institute ,Air Force Engineering University Shaanxi Sanyuan 713800,China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）