基于模糊评判与状态预测的精密空调控制软件开发

在精密空调控制中,由于环境温度、相对湿度等因素的相关影响,基于模糊控制PID、神经网络PID算法实现的控制系统在环境调节过程中,可能使执行机构陷入往复操作的震荡局面,从而浪费能源;另一方面,上述算法存在实现复杂、系统资源需求大、控制系统成本高的缺点.结合精密空调控制系统的特点,提出了基于模糊评判与状态预测的控制模型,该模型基于模糊控制的基本原理和控制要求设计一模糊控制规则表,将精密空调对环境的调节看成执行机构从初态到终态一系列的状态变化过程,根据检测机制当前检测到的温湿度,利用规则表和模糊评判函数决定对执行机构的控制操作.该模型在单片机上得到了实现.实验表明:基于模糊评判与状态预测的控制模型有效克服了模糊控制PID、神经网络PID模型的不足,开发的控制系统成本低,节能效果良好.

The Development of High Precision Environmental Air Conditioner Control Software Based on Fuzzy Judgment and State Predictive Analysis

The fuzzy control PID algorithm and neural network algorithm are used to control air conditioners.Because of the relative influences resulting from many environmental factors such as temperature,humidity etc in the controlling process,the executing agency may get into the trap of repeating operations,which will result in a great deal loss of energy.On the other hand,the cost is high,because the algorithms described above not only are difficult to implement,but also require a lot of system resources.To solve these problems,the fuzzy judgment and state predictive analysis control model is used to control high precision environmental air conditioners.The basic schema of this model is in accordance with the fuzzy control principle and the demand of control.A fuzzy control table and a fuzzy judgment function are designed.The conditioning process of the precise environmental air conditioner is regard as a series of transformation from the starting state to the object state.According to the environmental data detected by the detective mechanism,the fuzzy control table,the fuzzy judgment function,the control operation of the executing agency are decided.By implementing on SCM,experiment indicates that the effect is good.