基于全局最优-局部最优粒子群算法的PID 控制

PID的控制效果取决于比例、积分和微分三个参数取值,其参数优化一直是控制领域研究的热点。提出了一种全局最优-局部最优(Global Best-Local Best PSO,GBLB-PSO)的PID参数优化策略,使控制系统满足超调量小、调节时间短等性能目标。优化方案应用于暖通空调系统(Heating,Ventilating,and Air Conditioning HVAC)中室内空气压力回路的控制。仿真结果无超调、调节时间短。与传统方法相比,性能有了较大提高。表明了本方法的有效性和优越性。

Optimizing PID Parameters Based on Global Best-Local Best PSO

Control effect of PID depends on the parameter values: proportion, integral and differentiation, parameters optimization of PID control is always a hot spot in the research field of control. This paper puts forward a global best and local best PSO algorithm, which is an optimization strategy of PID, the result of this method making the system have small overshoot and short adjusting time. The optimization scheme of this paper will be used in the control of HVAC system. through simulation, it is shown that there is good effect, such as non-overshoot and short adjusting time. Compared with the traditional method, performance of this algorithm is well improved and optimized objective function is decreasing.