改进蚁群算法的中央空调冷冻水系统优化控制

Central air conditioning chilled water system optimization control based on improved ant colony algorithm

为解决传统PID控制器对具有强时变性的中央空调冷冻水系统控制鲁棒性变差的问题,提出使用改进蚁群算法优化PID控制器参数的方法。为提高搜索能力和快速收敛能力,引入高斯变异及自调整信息素并使用偏差平方和作为目标函数。建立中央空调冷冻水系统模型,利用3种方法对时变模型进行仿真对比实验。实验结果表明,在时变下该算法能以较短的响应时间和较小的波动使系统达到新的平衡,控制鲁棒性优于传统PID、蚁群算法。

To solve the problem that the traditional PID controller has poor robustness to the control of central air-conditioning chilled water system with strong time-variation,an improved ant colony algorithm was proposed to optimize the parameters of PID controller.To improve the search ability and rapid convergence ability,Gaussian mutation and self-adjusted pheromone were introduced and the square sum of deviation was used as the objective function.A model of central air-conditioning chilled water system was created,and three methods were used to simulate the same time-varying model.A central air conditioning chilled water system model was established,and three methods were used to simulate the time-varying model.Experimental results show that this algorithm can achieve new equilibrium with shorter response time and smaller fluctuations in time-varying,and the control robustness is better than traditional PID and ant colony algorithm.