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Mathematical Problems in Engineering
Volume 2015, Article ID 684094, 7 pages
Research Article

Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers

1Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan
2Mechanical Engineering Department, Southern Taiwan University of Science and Technology, Tainan City, Taiwan

Received 22 August 2014; Accepted 30 September 2014

Academic Editor: Stephen D. Prior

Copyright © 2015 Juing-Shian Chiou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Based on some sort of simplified fuzzy reasoning methods and PID parameters, many fuzzy-PID controller schemes are applied to control the complicated systems, recently. Mathematical optimization calculations are making in encouraging EP with PSO yielding a higher-quality solution. In this paper, a novel HEPSO algorithm as an improved variant of stochastic optimization strategy PSO, which assigns optimization to fuzzy-PID control gains, is established. The benefit integration design of the HEPSO algorithm structure is generating and updating the new parameters for the fuzzy-PID control schemes in the short setting and operation time. The proposed controllers have demonstrated performance to MAV models.