Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108949
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Title: An optimal PID tuning method for a two-link manipulator via an exact penalty function method
Authors: Wu, H
Wang, K
Yiu, KFC 
Issue Date: Dec-2023
Source: Journal of industrial and management optimization, Dec. 2023, v. 19, no. 12, p. 8469-8482
Abstract: In this paper, an optimal PID tuning method is proposed for a class of two-link manipulators. In particular, the control specifications of the manipulators are considered. By modeling the control specifications into state constraints, the optimal PID tuning problem is converted to an optimal parameters selection problem with state constraints. An exact penalty function based method is then utilized to handle the state constraints. The superior of the proposed method over an existing method is verified by carrying out an numerical example.
Keywords: Exact penalty function method
Optimal control
PID tuning
State constraints
Publisher: AIMS Press
Journal: Journal of industrial and management optimization 
ISSN: 1547-5816
EISSN: 1553-166X
DOI: 10.3934/jimo.2023047
Rights: JIMO is published by the American Institute of Mathematical Sciences and sponsored by Curtin University, Zhejiang University, and Chongqing Normal University. All rights reserved.
This article has been published in a revised form in Journal of Industrial and Management Optimization, https://doi.org/10.3934/jimo.2023047. This version is free to download for private research and study only. Not for redistribution, re-sale or use in derivative works.
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