Optimization of PID parameters based on improved particle-swarm-optimization

	Optimization of PID parameters based on improved particle-swarm-optimization
	Fan, Xinming; Cao, Jianzhong; Yang, Hongtao; Dong, Xiaokun; Liu, Chen; Gong, Zhendong; Wu, Qingquan
	2014
会议名称	2013 International Conference on Information Science and Cloud Computing Companion, ISCC-C 2013
页码	393-397
会议日期	2013-12-07
会议地点	Guangzhou, China
出版者	Institute of Electrical and Electronics Engineers Inc.
产权排序	1
摘要	Because the PID parameter settings obtained by classical method fail to achieve the best control performances, this paper proposes an improved particle swarm optimization (IPSO) algorithm with non-linear inertial weight changes and border buffer. Unlike the original PSO, the inertial weight changes instead of linearly. In addition, we provide a border buffer to the slopping-over particles, making them to fall in the explored space of optima to enhance the diversity of the particle swarm. The simulation experiments show that the system whose parameters are optimized by IPSO has better performances. Meanwhile, it proves the effectiveness of the improved particle swarm optimization.
作者部门	飞行器光学成像与测量技术研究室
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/22561
专题	飞行器光学成像与测量技术研究室
推荐引用方式 GB/T 7714	Fan, Xinming,Cao, Jianzhong,Yang, Hongtao,et al. Optimization of PID parameters based on improved particle-swarm-optimization[C]:Institute of Electrical and Electronics Engineers Inc.,2014:393-397.

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