Parameter Optimization of PID Controller Based on Improved Beetle Herd Algorithm

The PID controller, although used in 95% of the loop operations in the automation field for practical control, still has a lot of shortcomings such as nonlinearity, hysteresis, and time-varying uncertainty, resulting in unsatisfactory control effects. To solve this problem, this paper proposes an improved beetle herd algorithm for PID parameter optimization. With the combination of the group collaborative optimization ability of particle swarm optimization, the global search and local search capability is strengthened through the test of the error-index ITAE and the optimized PID parameters. Finally, with the help of the PID controller simulation, the effectiveness of the algorithm is verified by comparing the effects of the four algorithms before and after the improvement.