Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems

[Purposes] The unknown multi-motor driven load systems are addressed in this paper with game theory and adaptive dynamic programming. [Methods] The neural network (NN) is used to approximate the unknown dynamics. On the basis of the approximated dynamics, the optimal performance index is defined and...

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Main Authors: LYU Yongfeng, JIAN Long
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2025-01-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-2375.html
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author LYU Yongfeng
JIAN Long
author_facet LYU Yongfeng
JIAN Long
author_sort LYU Yongfeng
collection DOAJ
description [Purposes] The unknown multi-motor driven load systems are addressed in this paper with game theory and adaptive dynamic programming. [Methods] The neural network (NN) is used to approximate the unknown dynamics. On the basis of the approximated dynamics, the optimal performance index is defined and the optimal tracking controls are designed. The adaptive dynamic programming based tracking controls can be divided into steady-state controls and optimal feedback controls. Steady-state controls can be directly obtained with the tracking commands and load dynamics. The optimal feedback controls are obtained with an approximate dynamic programming algorithm, which can be used to research the saddle point and minimized the performance index. The convergence of the NN weights is analyzed and the stability of the load system is proved. [Findings] A simulation is provided to illustrate the effectiveness of the methods, which can optimize the load performance.
format Article
id doaj-art-a1ea52e7dc9c4a1f918556b1fd9d1ff8
institution Kabale University
issn 1007-9432
language English
publishDate 2025-01-01
publisher Editorial Office of Journal of Taiyuan University of Technology
record_format Article
series Taiyuan Ligong Daxue xuebao
spelling doaj-art-a1ea52e7dc9c4a1f918556b1fd9d1ff82025-02-12T03:34:22ZengEditorial Office of Journal of Taiyuan University of TechnologyTaiyuan Ligong Daxue xuebao1007-94322025-01-0156115716410.16355/j.tyut.1007-9432.202209381007-9432(2025)01-0157-08Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven SystemsLYU Yongfeng0JIAN Long1College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China[Purposes] The unknown multi-motor driven load systems are addressed in this paper with game theory and adaptive dynamic programming. [Methods] The neural network (NN) is used to approximate the unknown dynamics. On the basis of the approximated dynamics, the optimal performance index is defined and the optimal tracking controls are designed. The adaptive dynamic programming based tracking controls can be divided into steady-state controls and optimal feedback controls. Steady-state controls can be directly obtained with the tracking commands and load dynamics. The optimal feedback controls are obtained with an approximate dynamic programming algorithm, which can be used to research the saddle point and minimized the performance index. The convergence of the NN weights is analyzed and the stability of the load system is proved. [Findings] A simulation is provided to illustrate the effectiveness of the methods, which can optimize the load performance.https://tyutjournal.tyut.edu.cn/englishpaper/show-2375.htmladaptive dynamic programmingoptimal controlneural networksmulti-input systemservo system
spellingShingle LYU Yongfeng
JIAN Long
Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems
Taiyuan Ligong Daxue xuebao
adaptive dynamic programming
optimal control
neural networks
multi-input system
servo system
title Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems
title_full Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems
title_fullStr Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems
title_full_unstemmed Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems
title_short Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems
title_sort adaptive dynamic programming based tracking controls of multi motor driven systems
topic adaptive dynamic programming
optimal control
neural networks
multi-input system
servo system
url https://tyutjournal.tyut.edu.cn/englishpaper/show-2375.html
work_keys_str_mv AT lyuyongfeng adaptivedynamicprogrammingbasedtrackingcontrolsofmultimotordrivensystems
AT jianlong adaptivedynamicprogrammingbasedtrackingcontrolsofmultimotordrivensystems