[1]赵 静,张 彬,孙嘉曈,等.基于 PSO-PID 的电动位移装置伺服电机控制系统[J].计算机技术与发展,2023,33(11):9-13.[doi:10. 3969 / j. issn. 1673-629X. 2023. 11. 002]
　ZHAO Jing,ZHANG Bin,SUN Jia-tong,et al.Servo Position Control System of Motorized Translation Stage Based on PSO-PID[J].,2023,33(11):9-13.[doi:10. 3969 / j. issn. 1673-629X. 2023. 11. 002]

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基于 PSO-PID 的电动位移装置伺服电机控制系统()

分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

33

期数:

2023年11期

页码:

9-13

栏目:

嵌入式计算

出版日期:

2023-11-10

文章信息/Info

Title:

Servo Position Control System of Motorized Translation Stage Based on PSO-PID

文章编号:

1673-629X(2023)11-0009-05

作者:

赵 静¹ ; 张 彬¹ ; 孙嘉曈¹ ; 尚建华^{1 *} ; 唐顺兴² ; 王 杨²

1. 东华大学 信息科学与技术学院,上海 201620;

2. 中国科学院 上海光学精密机械研究所 高功率激光物理联合实验室,上海 201801

Author(s):

ZHAO Jing1 ; ZHANG Bin1 ; SUN Jia-tong1 ; SHANG Jian-hua1 * ; TANG Shun-xing2 ; WANG Yang2

1. School of Information Science and Technology,Donghua University,Shanghai 201620,China;

2. Joint Laboratory of High Power Laser and Physics,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201801,China

关键词:

电动位移装置; 控制精度; 直流伺服位置系统; 三环 PID; 粒子群算法

Keywords:

motorized translation stage; control accuracy; DC servo positioning system; three-loop PID; particle swarm optimization

分类号:

TP273+2

DOI:

10. 3969 / j. issn. 1673-629X. 2023. 11. 002

摘要:

为了提高光学相位补偿器 SBC-IR 的控制精度,解决传统 PID 算法在自动控制过程中响应速度较慢、精度低等问题,更好地实现 PID 参数的智能整定与位置最优控制,采用粒子群算法

( Particle Swarm Optimization,PSO) 优化光学相位补偿器电动位移装置的直流伺服位置控制系统,实现对三环比例、积分和微分( Proportional Integral Derivative,PID) 位置控制系统参数的自动寻优。 首先,搭建电动位移装置的三环直流伺服控制系统模型,包括位置环、速度环和电流环;然后,采用PSO 算法对位置环的 PID 参数进行寻优,得到 kp、ki、kd 三个参数的最优值,并对 PSO 算法优化直流伺服位置系统的控制效果与传统 PID 控制算法的控制效果进行对比。 实验结果表明:采用 PSO 算法优化的电动位移装置三环伺服位置系统具有较好的控制性能,可以实现位置的高性能追踪,响应速度更快,并能在一定程度上提升电动位移装置的位移精度。

Abstract:

In order to improve the control accuracy of the servo position system of optical phase compensator SBC - IR, improve theresponse speed and accuracy of the traditional PID algorithm during the control process, and realize the intelligent tuning of PIDparameters and optimal position control, the particle swarm optimization ( PSO) was used to optimize the DC servo position controlsystem of the motorized translation stage of optical phase compensator. In this way,the three-loop PID position system parameters wereoptimized automatically. Firstly,the three-loop DC servo control system model of the motorized translation stage was built including theposition loop,the speed loop and the current loop. Secondly,the PSO was used to optimize the PID parameters of the position loop,theoptimal values of kp, ki and kd were obtained. Besides, the DC servo position system performance of the PSO algorithm and thetraditional PID algorithm are compared. The experimental results show that the three - ring servo position system of the motorized　translation stage optimized by the PSO algorithm is able to improve the control performance including the high-performance tracking ofthe position,the fast response speed and the displacement accuracy of the motorized translation stage.

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