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http://dx.doi.org/10.6109/jkiice.2014.18.3.503

Design of PID Controller with Adaptive Neural Network Compensator for Formation Control of Mobile Robots  

Kim, Yong-Baek (Automation Research Dept., Industrial Technology Institute, Hyundai Heavy Industries)
Park, Jin-Hyun (Dept. of Mechatronics Eng., Kyeognam National University of Science and Technology)
Choi, Young-Kiu (Department of Electrical Engineering, Pusan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.3, 2014 , pp. 503-509 More about this Journal
Abstract
In this paper, a PID controller with adaptive neural network compensator is proposed to control the formations of mobile robot. The control system is composed of a kinematic controller based on the leader-following robot and dynamic controller for considering the dynamics of the mobile robot. The dynamic controller is constituted by a PID controller and the adaptive neural network compensator for improving the performance and compensating the change in dynamic characteristics. Simulation results show the performance of the PID controller and the neural network compensator for the circular trajectory and linear trajectory. And it is verified that by improving the performance of a PID controller via the adaptive neural network compensator, the following robot's tracking performance is improved.
Keywords
Formation control; leader-following robots; neural network compensator; PID controller;
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