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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2017 Vol.9(2): 133-137 ISSN: 1793-8236
DOI: 10.7763/IJET.2017.V9.958

A General Technical Route for Parameter Optimization of Ship Motion Controller Based on Artificial Bee Colony Algorithm

Yanfei Tian, Liwen Huang, and Yong Xiong
Abstract—The most practical application in industrial process control is still the conventional PID control algorithm. However, PID parameter tuning and optimizing, where the difficulty lies in as well, is an important issue in the field of automatic control. It is the direction to achieve global optimization of PID parameters using intelligent optimization algorithm. Aiming at the difficult problems in parameter tuning of PID controllers in industrial control, A parameter tuning and optimization method based on artificial bee colony algorithm is proposed, the parameter of PID controller need to be tuned is seen as the nectar source, the high-quality combination of parameters is searched using the unique role change mechanism of the bees; and the ITAE index is selected as the objective function for parameter optimization. Simulation implemented on MATLAB-Simulink proved the proposed process was of feasibility and availability in the optimization work. The process and results showed that proposed technical route was simple and feasible with strong adaptability, making it an effective computer aided offline parameter optimization method for PID controller.

Index Terms—Ship engineering, automation, PID controller, intelligent parameter optimization, artificial bee colony algorithm.

Yanfei Tian, Liwen Huang, and Yong Xiong are with the School of Navigation, Wuhan University of Technology (WUT), China, and the Hubei Key Laboratory of Inland Shipping Technology, WUT, China (e-mail: feifei_whut@163.com, lwhuang@whut.edu.cn, bear_brave@163.com).

[PDF]

Cite: Yanfei Tian, Liwen Huang, and Yong Xiong, "A General Technical Route for Parameter Optimization of Ship Motion Controller Based on Artificial Bee Colony Algorithm," International Journal of Engineering and Technology vol. 9, no. 2, pp. 133-137, 2017.

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