English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

Multiple Repellents Based Fruit Fly Algorithm for PID Parameter Optimization