Fuzzy sliding mode controller based on PSO algorithm design

DOI

10.2991/asei-15.2015.266How to use a DOI?

Keywords

particle swarm algorithm; the fuzzy sliding mode; parameter optimization; chattering.

Abstract

For a class of nonlinear systems with uncertainty, a fuzzy sliding mode control method based on particle swarm algorithm, combined with the strong robustness of sliding mode control with fuzzy control is a good approximation capability, use the quasi sliding mode control make the system tracking error within the given boundary layer; Within the boundary layer will replace, switch control with fuzzy control and the supervision function is adopted to control action is smooth. At the same time, to join the supervision and control to diffusion control input and global stability control system has, under the condition of sliding mode existence of controller parameters was optimized by using particle swarm optimization, ensure the sliding mode control of parameter perturbation and external disturbance is strong robustness. Reducing the high frequency chattering of the system, improved the control performance of the controller. The simulation results show the effective-ness of the method.

Copyright

© 2015, 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  - Lihua Li
AU  - Weihua Huang
PY  - 2015/05
DA  - 2015/05
TI  - Fuzzy sliding mode controller based on PSO algorithm design
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1347
EP  - 1351
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.266
DO  - 10.2991/asei-15.2015.266
ID  - Li2015/05
ER  -