PSO to design decentralized fuzzy PI controllers application for a helicopter

In this paper, we propose the use of a Particle Swarm Optimization (PSO) for tuning decentralized typical fuzzy PI (FPI) controllers applied for the stabilization of a helicopter model. The method is used such as to minimize a square error (SE) fitness function which quantifies the performance of th...

Full description

Saved in:
Bibliographic Details
Main Authors: Boubertakh, H., Labiod, S., Tadjine, M.
Format: Conference Proceeding
Language:English
Subjects:
Azimuth
Helicopters
Particle swarm optimization
PD control
Tuning
Vectors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose the use of a Particle Swarm Optimization (PSO) for tuning decentralized typical fuzzy PI (FPI) controllers applied for the stabilization of a helicopter model. The method is used such as to minimize a square error (SE) fitness function which quantifies the performance of the whole control system. The proposed PSO method exploits all the available knowledge about the system under control since, the considered typical FPI controllers are characterized by simple and interpretable structure, which can reduces the tuning time.
DOI:10.1109/MED.2012.6265709