A Study of the Stability of an Industrial Robot Servo System: PID Control Based on a Hybrid Sparrow Optimization Algorithm

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Publicado en:Actuators vol. 14, no. 2 (2025), p. 49
Autor principal: Wang, Pengxiang
Otros Autores: Feng, Tingping, Song, Changlin, Li, Junmin, Yang, Simon X
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MDPI AG
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024 7 |a 10.3390/act14020049  |2 doi 
035 |a 3170834201 
045 2 |b d20250101  |b d20251231 
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100 1 |a Wang, Pengxiang  |u School of Mechanical Engineering, Xihua University, Chengdu 610039, China; <email>wangpengxiang@stu.xhu.edu.cn</email> (P.W.); <email>ftp@stu.xhu.edu.cn</email> (T.F.) 
245 1 |a A Study of the Stability of an Industrial Robot Servo System: PID Control Based on a Hybrid Sparrow Optimization Algorithm 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Industrial robots can cause servo system instability during operation due to friction between joints and changes in end loads, which results in jittering of the robotic arm. Therefore, this paper proposes a hybrid sparrow search algorithm (HSSA) method for PID parameter optimization. By studying the optimization characteristics of the genetic algorithm (GA) and sparrow search algorithm (SSA), the method combines the global optimization ability of GA and the local optimization ability of SSA, thus effectively reducing the risk of SSA falling into local optimum and improving the ability of SSA to find global optimization solutions. On the basis of the traditional PID control algorithm, HSSA is used to intelligently optimize the PID parameters so that it can better meet the nonlinear motion of the industrial robot servo system. It is proven through experiments that the HSSA in this paper, compared with GA, SSA, and traditional PID, has a maximum improvement of 73% in the step response time and a maximum improvement of more than 95% in the iterative optimization search speed. The experimental results show that the method has a good suppression effect on the jitter generated by industrial robots in motion, effectively improving the stability of the servo system, so this work greatly improves the stability and safety of industrial robots in operation. 
653 |a Accuracy 
653 |a Proportional integral derivative 
653 |a Control theory 
653 |a Control algorithms 
653 |a Genetic algorithms 
653 |a Mathematical models 
653 |a Servocontrol 
653 |a Robot dynamics 
653 |a Robot arms 
653 |a Global optimization 
653 |a Neural networks 
653 |a Controllers 
653 |a Robots 
653 |a Search algorithms 
653 |a Local optimization 
653 |a Stability 
653 |a Systems stability 
653 |a Optimization algorithms 
653 |a Parameters 
653 |a Industrial production 
653 |a Step response 
653 |a Robot control 
653 |a Industrial robots 
700 1 |a Feng, Tingping  |u School of Mechanical Engineering, Xihua University, Chengdu 610039, China; <email>wangpengxiang@stu.xhu.edu.cn</email> (P.W.); <email>ftp@stu.xhu.edu.cn</email> (T.F.) 
700 1 |a Song, Changlin  |u School of Mechanical Engineering, Xihua University, Chengdu 610039, China; <email>wangpengxiang@stu.xhu.edu.cn</email> (P.W.); <email>ftp@stu.xhu.edu.cn</email> (T.F.) 
700 1 |a Li, Junmin  |u School of Mechanical Engineering, Xihua University, Chengdu 610039, China; <email>wangpengxiang@stu.xhu.edu.cn</email> (P.W.); <email>ftp@stu.xhu.edu.cn</email> (T.F.) 
700 1 |a Yang, Simon X  |u School of Engineering, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada; <email>syang@uoguelph.ca</email> 
773 0 |t Actuators  |g vol. 14, no. 2 (2025), p. 49 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3170834201/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3170834201/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3170834201/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch