Journal of Projectiles, Rockets, Missiles and Guidance >
H∞-PID Controller Design for Missile Autopilot Based on Constrained Particle Swarm Optimization
Received date: 2015-04-14
Online published: 2025-05-30
Traditional design of missile's PID control law only considers robust performances such as amplitude margin, phase margin and so on, which is unable to guarantee multivariate robustness index.In this paper, an easy-to-use method for controller design was presented based on constrained particle swarm optimization (PSO) algorithm.This method takes H∞ robustness index as objective function and automatically obtains various parameters.The existing PSO algorithm has been improved by a mapping function, so a constrained optimization problem can be converted into an unconstrained one.Taking the sample missile as the plant, the H∞ PID controller was designed.Compared with penalty function algorithm, simulation results show that this method has better performance.
Key words： missile; PID; control; particle swarm; optimization
ZHANG Min , YING Qiaopin . H∞-PID Controller Design for Missile Autopilot Based on Constrained Particle Swarm Optimization[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2016 , 36(1) : 1 -4,9 . DOI: 10.15892/j.cnki.djzdxb.2016.01.001
| [1] | 王嘉鑫, 林德福, 祁载康. 战术导弹三回路过载驾驶仪时域特性分析[J]. 兵工学报, 2013, 34(7):828-834. |
| [2] | 郑建华, 杨涤. 鲁棒控制理论在倾斜转弯导弹中的应用[M]. 北京: 国防工业出版社, 2001: 12-44. |
| [3] | 孔英秀, 赵丁选, 杨彬,等. 基于PSO-DE 和LMI 的鲁棒静态输出反馈控制[J]. 吉林大学学报(工学版), 2013, 43(5):1375-4380. |
| [4] | KENNEDY J, EBERHART R. Particle swarm optimization[C]//Proc IEEE International Conf.on Neural Networks. Perth, Australia: IEEE Piscataway, 1995: 1942-1948. |
| [5] | MARUTA I, SUGIE T, KIM T-H. Identification of piece-wise affine systems via distributed particle swarm optimiza-tion[C]// The 18th IFAC World Congress.Milano, Italy, 2011: 7743-7748. |
| [6] | JANSEN PW, PEREZ RE. Constrained structural design optimization via a parallel augmented Lagrangian particle swarm optimization approachJ. Computers & Structures, 2011 (89):1352-4366. |
| [7] | SEDLACZEK K, EBERHARD P. Using augmented La-grangian particle swarm optimization for constrained prob-lems in engineering[J]. Structural and MultidisciplinaryOptimization, 2006, 32(4):277-286. |
| [8] | HE Q, WANG L. A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization[J]. Applied Mathematics and Computation, 2007, 86(1):1407-4422. |
| [9] | PARSOPULOS K, VRAHATIS M. Particle swarm optimiza-tion method for constrained optimization problems[C]//Proceedings of the Euro_International Symposiun on Compu-tational Intelligence.Slovakia:ISO Press.2002: 214-219. |
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