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随着近年来雾霾的严重加剧,汽车空调控制系统越来越被人们所重视。本文将智能算法BP神经网络与常规PID算法相结合对汽车空调控制系统进行仿真研究,仿真结果表明该方法具有鲁棒性好、精度高的优点。
With the serious increase of smog in recent years, more and more people pay attention to the control system of automobile air conditioning. In this paper, the intelligent algorithm BP neural network and the conventional PID algorithm are combined to simulate the automotive air conditioning control system. The simulation results show that the method has the advantages of good robustness and high precision.