随着近年来快递产业的快速发展,小型货车常被快递员选为主要的交通工具。为了给快递员提供一个舒适的工作环境,为小型货车加入适合的空调控制系统变得尤为重要。本文将径向基RBF神经网络与PID算法相结合对小型货车空调控制系统进行仿真研究,仿真结果表明该方法具有准确度高、稳定性好的优点。 With the rapid development of express delivery industry in recent years, minivans are often selected as the main mode of transportation by couriers. In order to provide a comfortable working environment for the courier, it is especially important to add a suitable air conditioning control system to the pickup truck. In this paper, radial RBF neural network and PID algorithm are combined to simulate the control system of air-conditioners in small trucks. The simulation results show that this method has the advantages of high accuracy and good stability.