Application of the hybrid genetic particle swarm algorithm to design the linear quadratic regulator controller for the accelerator power supply

doi:10.1007/s41605-021-00248-7

	Application of the hybrid genetic particle swarm algorithm to design the linear quadratic regulator controller for the accelerator power supply
	Zeng, Xianqiang 1,2,3; Zhang, Jingwei 1; Li, Hengjie 1,2,3
刊名	RADIATION DETECTION TECHNOLOGY AND METHODS
	2021
卷号	5 期号:1 页码:128-135
关键词	Particle swarm optimization Genetic algorithm Accelerator power supply Linear quadratic regulator optimal controller Weighting matrix
ISSN号	2509-9930
DOI	10.1007/s41605-021-00248-7
英文摘要	Purpose The purpose of this paper is to study a new method to improve the performance of the magnet power supply in the experimental ring of HIRFL-CSR. Methods A hybrid genetic particle swarm optimization algorithm is introduced, and the algorithm is applied to the optimal design of the LQR controller of pulse width modulated power supply. The fitness function of hybrid genetic particle swarm optimization is a multi-objective function, which combined the current and voltage, so that the dynamic performance of the closed-loop system can be better. The hybrid genetic particle swarm algorithm is applied to determine LQR controlling matrices Q and R. Results The simulation results show that adoption of this method leads to good transient responses, and the computational time is shorter than in the traditional trial and error methods. Conclusions The results presented in this paper show that the proposed method is robust, efficient and feasible, and the dynamic and static performance of the accelerator PWM power supply has been considerably improved.
WOS研究方向	Nuclear Science & Technology
语种	英语
出版者	SPRINGER SINGAPORE PTE LTD
WOS记录号	WOS:000633263300002
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148293]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Technol, Natl Demonstrat Ctr Expt Elect & Control Engn Edu, Lanzhou 730050, Peoples R China 3.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Peoples R China;
推荐引用方式 GB/T 7714	Zeng, Xianqiang,Zhang, Jingwei,Li, Hengjie. Application of the hybrid genetic particle swarm algorithm to design the linear quadratic regulator controller for the accelerator power supply[J]. RADIATION DETECTION TECHNOLOGY AND METHODS,2021,5(1):128-135.
APA	Zeng, Xianqiang,Zhang, Jingwei,&Li, Hengjie.(2021).Application of the hybrid genetic particle swarm algorithm to design the linear quadratic regulator controller for the accelerator power supply.RADIATION DETECTION TECHNOLOGY AND METHODS,5(1),128-135.
MLA	Zeng, Xianqiang,et al."Application of the hybrid genetic particle swarm algorithm to design the linear quadratic regulator controller for the accelerator power supply".RADIATION DETECTION TECHNOLOGY AND METHODS 5.1(2021):128-135.