OS3-2 MQPSO Algorithm Based Fuzzy PID Control for a Pendubot System

Title:	OS3-2 MQPSO Algorithm Based Fuzzy PID Control for a Pendubot System
Publication:	ICAROB2017
Volume:	22
Pages:	41-44
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2017.OS3-2
Author(s):	Li-Chun Lai, Yu-Yi Fu, Chia-Nan Ko
Publication Date:	January 19, 2017
Keywords:	modified quantum-behaved particle swarm optimization, fuzzy PID controller, pendubot system
Abstract:	In this study, a modified quantum-behaved particle swarm optimization (MQPSO) approach is proposed to design an optimal fuzzy PID controller for asymptotical stabilization of a pendubot system. In the fuzzy PID controller, parameters are determined by using MQPSO algorithm. The MQPSO method and other PSO methods are then applied to design an optimal fuzzy PID controller in a pendubot system. Comparing the simulation results, the feasibility of the MQPSO is verified.
PDF File:	https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS3/OS3-2.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/