Journal
ELECTRONIC RESEARCH ARCHIVE
Volume 30, Issue 8, Pages 2941-2963Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/era.2022149
Keywords
artificial bee colony algorithm; radar servo system; PID controller; parameter optimization; reformative artificial bee colony algorithm
Categories
Funding
- Liaoning Provincial Department of Education Basic Research Projects for Higher Education Institutions, China [LJKZ0301]
- Scientific Research Foundation of the Education Department of Liaoning Province, China [2017LNQN22]
- Young Teachers Foundation of University of Science and Technology Liaoning, China [2017QN04]
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This paper proposes a PID controller optimized by a reformative artificial bee colony algorithm (RABC-PID) for the radar servo system (RSS). The RABC algorithm is validated by simulation with benchmark functions, and the RABC-PID controller is shown to be effective and robust compared to other optimization algorithms.
This paper proposes a PID controller optimized by a reformative artificial bee colony algorithm (RABC-PID) for the radar servo system (RSS). The RABC algorithm is an enhancement of the artificial bee colony (ABC) algorithm by introducing the best-positioned food source and modifying the food source probability. The RABC algorithm is validated by simulation with six benchmark functions, and the results show that the RABC algorithm is superior to the other variants of the ABC algorithm in terms of convergence speed and accuracy. The RABC-PID controller is then used for the RSS. The RSS is presented to illustrate the application of the RABC-PID controller. The simulation results, which are also compared to PID optimized by particle swarm optimization, differential evolution, and genetic algorithm (PSO-PID, DE-PID, and GA-PID) respectively, are shown to illustrate the effectiveness and robustness of the RABC-PID controller.
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