Optimization of PID Parameters Based on Genetic Algorithm and Interval Algorithm

摘要：

To overcome simple genetic algorithms defects of worse local searching ability and premature convergence, a hybrid algorithm of genetic algorithm and interval algorithm was proposed, and applied to parameters optimization of PID controller by employing interval algorithm in population initialization of genetic algorithm. The simulation and experimental results show that the new algorithm is better than simple genetic algorithm, which can improve the convergence speed, overcome the premature convergence phenomena, reduce the influence of random initial population, improve the convergence precision, and has excellent convergence performance and optimization ability.

关键词： Genetic Algorithm Interval Algorithm PID Controller Simulation

作者: SHAO Xiao-gen XIAO Li-qing HAN Cheng-chun

作者单位: Xuzhou Institute of Technology, Xuzhou 221008, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 741-745

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）