The Study on the Membership Function Shape of Fuzzy Controller Optimization

DOI

10.2991/emeit.2012.363How to use a DOI?

Keywords

Adaptive Cruise Control, Fuzzy Self-Tuning Controller, Membership function, Particle Swarm Optimization

Abstract

Since it is difficult to determine a fuzzy controller parameters, which need to match the test car’s complex nonlinear dynamic characteristics. Based on particle swarm optimization algorithm, a fuzzy self-tuning controller parameters optimization method is developed. The controller is reconstructed by using particle swarm optimization, which can randomly chosen values in the value range of membership function’s shape point in many times. And to keep track of the objective function as best, the membership function shape optimization problem of fuzzy self-tuning controller is solved. The simulation results show that the optimized controller has good control performance, which can get controller parameters by using particle swarm optimization method.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Wu
AU  - Zhenhai Gao
AU  - Yang You
PY  - 2012/09
DA  - 2012/09
TI  - The Study on the Membership Function Shape of Fuzzy Controller Optimization
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1633
EP  - 1636
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.363
DO  - 10.2991/emeit.2012.363
ID  - Wu2012/09
ER  -