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

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.