基于改进PSO整定的PID控制算法在空调水系统中的应用研究

摘要

The traditional PID control method is ineffective due to Large inertia and time lag of the variable flow air conditioning water system. In this paper, variable flow air conditioning chilled water, the backwater temperature and pump speed of the system are to be optimized by using adaptive adjustment inertia weight particle swarm algorithm (DSAPSO). PID adaptive controller using DSAPSO after Matlab simulation performs the functions of controlling the rise time and improving overshoot and adjusting time . The system quality control quality is improved to a certain extent. The system shows good dynamic performance and strong robustness. Therefore, DSAPSO can be further applied to control aspects of the entire air conditioning water system to complete the optimized control of air conditioning water system.%本文针对变流量空调水系统的惯性大、时间滞后等特点以及传统PID控制方法调节效果不佳等问题,采用自适应调整惯性权重的粒子群（DSAPSO）算法,初步对变流量空调冷冻水系统的回水温度与水泵转速进行优化控制。采用DSAPSO的PID自适应控制器,经过Matlab仿真后,控制环节的上升时间、超调量及调整时间得到较大改善,系统控制品质得到了一定提高,系统表现出良好的动态性能及较强的鲁棒性。因此,可将DSAPSO进一步应用于整个空调水系统的控制环节,以完成空调水系统的优化控制。