Yuntai Fuzzy PID Control and Simulation

DOI

10.2991/emcs-16.2016.387How to use a DOI?

Keywords

Fuzzy control; Fuzzy rules; PID control; Simulate

Abstract

This article first introduces the basic theory of fuzzy control and design of the general steps of the fuzzy controller, the basic principle of fuzzy PID is presented. Then use particle swarm algorithm to optimize fuzzy rules. In the end, the optimized fuzzy PID triaxial stability for unmanned aerial vehicle haeundae simulation experiment, and make comparison with the classic PID control algorithm. The simulation results show that the PSO parameters optimization of fuzzy PID system has a better effect, optimization of the fuzzy PID control algorithm in unmanned aerial vehicle three axis stabilized yuntai control achieves a good control effec.

Copyright

© 2016, 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  - Min Ji
AU  - Jingfeng He
AU  - Xiaoping Yang
AU  - Pengfei Ji
PY  - 2016/01
DA  - 2016/01
TI  - Yuntai Fuzzy PID Control and Simulation
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1548
EP  - 1551
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.387
DO  - 10.2991/emcs-16.2016.387
ID  - Ji2016/01
ER  -