Abstract: Firstly, aiming at  the problems of long adjustment time, delay and hysteresis in the traditional proportional integral derivative (PID)  control system, we proposed using the improved hunger games search (THGS) algorithm  to optimize the parameters of the traditional PID controller. Simulation experiments were carried out by using crop growth model, soil moisture transport model and soil fertilizer transport model. The results show that the  PID controller optimized by THGS algorithms is superior to other controllers in terms of adjustment  time and starting amount, which effectively improves the performance of the control system.

Key words: artificial intelligence, hunger game search algorithm, PID controller, parameter optimization