Applying Genetic Algorithm to Optimization Parameters of Missile Control System

摘要：

Proportion integral differential(PID) control is widely used for missile control systems, but it is difficult to achieve parameter optimization because the three control parameters Kp, Ki, Kd are empirically selected. Genetic algorithm is a search algorithm that is based on natural selection and genetics principles and randomly generates the initial population of the PID control parameters according to the calculation of selection, crossover and mutation, thus optimizing the control parameters. In this paper, a missile attitude control system in longitudinal channel is taken as an example, and the minimum time integral of error absolute value is chosen as the performance assessment index. The genetic algorithm is used to optimize the parameters of the attitude angle control system and obtain their optimal solutions.

关键词： proportion integral differential(PID) control genetic algorithm parameter optimization attitude control system

作者: Zhu Supeng Fu Wenxing Yang Jun Luo Jianjun

作者单位: College of Astronautics Northwestern Polytechnical University Xi’an, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）