基于粒子群算法的PID控制研究

The research of PID control based on PSO in load forecasting

运用粒子群算法优化理论,实现对PID控制参数的自适应调节。在无需先验知识的情况下,直接根据选取的性能指标,对PID策略参数进行动态调整。结果表明,PSO算法使得PID控制参数调整速度快,产生超调量小,具有较强的竞争力。

This paper applies the optimizafion theory of Particle Swarm Algorithm in automatically tuning the parameters of PID controllers. In the case of unknowing the pre-check information, the PID strategy parameters are dynamically tuned based on the selected performance index directly. The result indicates, the PSO makes the tuning of PID controlled parameters more quickly, and the overshoot small, so the method has high compete ability.