基于自适应PID算法的制冷装置实时控制

通过离线辨识蒸发器过热度控制的实验数据，得到了基本二阶惯性纯迟延模型以及相关的非线性动态特性。在此基础上，经过控制器参数整定得到了利用单片机开发的实时控制器用的优化控制参数。同时，根据系统时变、非线性的特点，在基本PID算法的基础上，融入自适应控制在线识别系统工况，实时改变控制器的控制参数。实验表明，自适应PID控制相对于单纯PID控制，在控制精度、稳定性等控制品质指标上有较大提高，适于工程实用。     

Simulation of Artificial Intelligence for Automotive Air-conditioning System

The artificial intelligence is applied to the simulation of the automotive air-conditioning system ( AACS) . According to the system's characteristics a model of AACS, based on neural network, is developed. Different control methods of AACS are discussed through simulation based on this model. The result shows that the neural-fuzzy control is the best one compared with the on-off control and conventional fuzzy control method. It can make the compartment's temperature descend rapidly to the designed temperature and the fluctuation is small.