Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers

Joint Authors

Tran, Huu-Khoa
Peng, Shou-Tao
Chiou, Juing-Shian

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-12

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Chiou, Juing-Shian& Tran, Huu-Khoa& Peng, Shou-Tao. 2015. Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074457

Modern Language Association (MLA)

Chiou, Juing-Shian…[et al.]. Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1074457

American Medical Association (AMA)

Chiou, Juing-Shian& Tran, Huu-Khoa& Peng, Shou-Tao. Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074457

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1074457