Multiple Repellents Based Fruit Fly Algorithm for PID Parameter Optimization
Youwei WANG, Yang LI
Journal of Intelligent Computing, Vol. 9, No. 2, 2018.
DOI: https://doi.org/10.6025/jic/2018/9/1/76-86
Link: http://www.dline.info/jic/fulltext/v9n2/jicv9n2_3.pdf
Abstract:
The parameters of the PID controller directly affect the stability and the response speed of the controlled system.
As traditional swarm based parameter optimization algorithms have the problems of high computational complexity, strong
parameter dependence and weak global optimization ability, a multiple repellents reverse driving based fruit fly optimization
algorithm is proposed. The concept of multiple repellents is proposed based on the theory of bacterial chemotaxis. Moreover,
the advantages of traditional fruit fly algorithms on convergence speed are combined, and a single attractant based attraction
operation is used to update the positions of the fruit flies. At the end of the iterations, the multiple repellents based reverse
driving operation is proposed to solve the invalid global searching problem of traditional algorithms. The experimental
results on the standard functions and the PID controller show that, the performance of the proposed method is improved when
compared to traditional algorithms. The optimized PID controller has fast response speed and high stability, showing the
ability of the proposed algorithm on PID parameter optimization.