Bacterial foraging oriented by particle swarm optimization strategy for PID tuning

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Bacterial foraging oriented by particle swarm optimization strategy for PID tuning

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation table of contents

Atlanta, GA, USA

WORKSHOP SESSION: Graduate student workshops table of contents

Pages 1823-1826

Year of Publication: 2008

ISBN:978-1-60558-131-6

Author

Wael Mansour Korani

University of Cairo, Cairo, Egypt

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

Proportional integral derivative (PID) controller tuning is an area of interest for researchers in many disciplines of science and engineering. This paper presents a new algorithm for PID controller tuning based on a combination of the foraging behavior of E coli bacteria foraging and Particle Swarm Optimization (PSO). The E coli algorithm depends on random search directions which may lead to delay in reaching the global solution. The PSO algorithm may lead to possible entrapment in local minimum solutions. This paper proposed a new algorithm Bacteria Foraging oriented by PSO (BF-PSO). The new algorithm is proposed to combines both algorithms' advantages in order to get better optimization values. The proposed algorithm is applied to the problem of PID controller tuning and is compared with conveniently Bacterial Foraging algorithm and Particle swarm optimization.

REFERENCES

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