Abstract
This paper provides a comprehensive examination of the background and theory of Proportional-Integral-Derivative (PID) control in robot manipulators. It not only compares the different tuning methods, but also offers analysis of the commonly used Metaheuristic algorithms tuning approaches employed by previous researchers. Furthermore, it discusses the challenges encountered and the potentials unlocked when applying PID control to robot manipulators, considering factors such as system complexity, robustness and stability. The insights gained from this research are of utmost significance for the continued development and industrial implementation of PID control in the field of robotics. By improving the understanding of PID control and its performance characteristics, this study contributes to enhancing the precision, stability, and adaptability of robot manipulators in various industries and applications, including manufacturing, automation, and autonomous systems. Overall, this paper sheds light on the future directions and potential advancements in PID control for robot manipulators.
Publisher
Darcy & Roy Press Co. Ltd.
Reference14 articles.
1. Yuval Zaidel, Albert Shalumov, Alex Volinski, Lazar Supic and Elishai Ezra Tsur1. Neuromorphic NEF-Based Inverse Kinematics and PID Control. Frontiers in Neurorobotics, 2021, 15.
2. Zhou Yi. A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems. Security and Communication Networks, 2022.
3. Wang Yong. Research on Nonlinear PID Control. Nanjing University of Science and Technology, 2000.
4. Ziegler and Nichols. Optimum settings for automatic controllers. Transactions of the ASME, 1995, 42(6): 94-100.
5. Stephen Bassi Joseph,Emmanuel Gbenga Dada Afeez Abidemi, David Opeoluwa Oyewola and Ban Mohammed Khammas. Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems. HELIYON, 2022, 8(5).