Improved beluga whale algorithm to optimize the multi-parameters of Fuzzy-PID controller for the rotation speed control system in crayfish unmanned feeding ship's feeding structure
Description
The relevant data and program of Fuzzy-PID control system optimization for feeding speed of shrimp pond feeding vessel equipment are presented.The simulation outcomes revealed that the Fuzzy-PID controller, which were optimized by the improved BWO algorithm, had the best performance in terms of rise time, adjustment time, and steady-state error, which were about 0.35 s, 0.63 s, and 0.02%, respectively. At the same time, the maximum system deviation was the smallest in the presence of noise interference, about 8.63%. Compared with the non-correction system and the Fuzzy-PID control system optimized by the BWO algorithm, the rise time was reduced by 28.57% and 27.08%; the adjustment time was reduced by 26.74% and 50.78%; the steady-state error was reduced by 98.11% and 96.67%; and the maximum deviation in the presence of interference was reduced by 62.48% and 27.05%, respectively, indicating that the improved BWO algorithm could well optimize the parameters of the Fuzzy-PID controller. Finally, according to the optimized Fuzzy-PID controller parameters, the feeding test was carried out on the prototype of the crayfish unmanned feeding ship. The experimental results showed that, compared to the unoptimized system, the rise time, the adjustment time and the steady-state error of the optimized rotation speed control system of the feeding structure were reduced by 16.28%, 33.98%, and 80.07%, respectively. And the average coefficient of variation (C_v) of particle distribution uniformity in the transverse width direction was 11.44%, indicating that the bait distribution was relatively uniform and the difference of distribution was small, which could provide the reference for the optimization of crayfish unmanned feeding ships.