关键词: 比例积分微分控制器, 参数优化, 仿真, 花授粉算法, 粒子群算法, 人群搜索算法

Abstract: The optimization of PID parameters plays a decisive role in improving performance of PID control. In terms of the problem of PID parameters optimization, a flower pollination algorithm is applied. The algorithm is inspired by pollen migration, of which pollen position coordinates consist of three PID parameters, and the position is updated to optimal solution based on certain global pollination and local pollination rules. From the simulation experiment, compared with particle swarm optimization algorithm and seeker optimization algorithm, the system optimized by FPA possesses the characteristics of shorter system response time, higher control precision and better robustness, which provides a reference for PID parameters optimization for control system.

Key words: Proportion-Integration-Differentiation（PID） controller, parameter optimization, simulation, Flower Pollination Algorithm（FPA）, particle swarm optimization algorithm, seeker optimization algorithm