Design of fractional PID control via hybrid of electromagnetism-like and genetic algorithms

Fu Kai Chang*, Ching Hung Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper, we propose a design method of fractional order PID controller via hybrid of electromagnetism-like (EM) algorithm and genetic algorithm (GA). The hybrid algorithm improves the performance of EM algorithm by using GA, called IEMGA. The main modification is that the randomly neghiborhood local search is changed by genetic algorithm for designing fractional order PID (FOPID) controllers. IEMGA combines the advantages of multiple search, global optimization, and faster convergence.It does not need any gradient information and it is capable of decreasing the computational complexity. Simulation results show that IEMGA has the ability of golbal optimization and faster convergence. In addition, it improve the computation complecity of EM.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages525-530
Number of pages6
DOIs
StatePublished - 2008
Event8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan
Duration: 26 Nov 200828 Nov 2008

Publication series

NameProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Volume2

Conference

Conference8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
CountryTaiwan
CityKaohsiung
Period26/11/0828/11/08

Fingerprint Dive into the research topics of 'Design of fractional PID control via hybrid of electromagnetism-like and genetic algorithms'. Together they form a unique fingerprint.

Cite this