Particle swarm optimization algorithm reinforced fuzzy proportional–integral–derivative for a quadrotor attitude control-Reference-Cited by-同舟云学术

Particle swarm optimization algorithm reinforced fuzzy proportional–integral–derivative for a quadrotor attitude control

Published:2016-09 Issue:9 Volume:8 Page:168781401666870
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Chiou Juing-Shian¹,Tran Huu-Khoa²,Shieh Ming-Yuan¹,Nguyen Thanh-Nam²

Affiliation:

1. Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan

2. National Key Laboratory of Digital Control and System Engineering, University of Technology, VNU-HCM, Ho Chi Minh City, Vietnam

Abstract

In this article, the particle swarm optimization algorithm is presented using an improved stochastic variant strategy to optimize the gains of the fuzzy proportional–integral–derivative controller. The particle swarm optimization algorithm aims to renew the elite parameters for the schemes of fuzzy proportional–integral–derivative controls. The integral of time multiplied by absolute error criterion is used to estimate the system performance due to saving the setting and operation time. Facing nonlinear quadrotor attitude control models, the results demonstrate the proposed scheme with better performance.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814016668705

Reference18 articles.

1. Comparing inertia weights and constriction factors in particle swarm optimization

2. Balancing and positioning for a gun control system based on fuzzy fractional order proportional–integral–derivative strategy

3. Optimized switching scheme of cascaded H-bridge multilevel inverter using PSO

4. Particle swarm optimization

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