Affiliation:
1. School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, China
Abstract
To improve the performance of the PID controller for a steel strip deviation control system (SSDCS), an enhanced artificial bee colony algorithm (EABC) is proposed to optimize PID controller gains (EABC-PID). The proposed EABC changes the candidate solution equation to balance its explorative and exploitative capabilities. The experiment presents a detailed comparison of EABC-PID and four bio-inspired algorithms based PID controllers considering four types of objective functions. Simulation results show that EABC-PID proves to be superior for SSDCS compared to four bio-inspired algorithms based PID controller in terms of convergence, dynamic adjustment, and robustness.
Funder
Young Teachers Foundation of University of Science and Technology Liaoning
The Scientific Research Foundation of the Education Department of Liaoning Province
Liaoning Provincial Department of Education Basic Research Projects for Higher Education Institutions
Cited by
10 articles.
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