直膨式空调人工神经网络在线自适应控制器应用研究

On-line Adaptive Control Application of a Direct Expansion Air Conditioning System Using Artificial Neural Network

摘要:

为了解决直接膨胀式空调系统人工神经网络控制器控制范围和精度的问题,引入在线自适应控制系统;该控制器的控制能力测试采用直接膨胀式空调系统实验装置进行;试验结果表明,基于人工神经网络动态模型的在线自适应控制器进行训练的前提下,该控制器能够将室内空气的干球和湿球温度控制在一定范围内,具有较高的控制精度;该控制器具有一定的实用价值,对于其他的控制器设计也有一定的借鉴意义。

Abstract:

To address the issue of limited controllable range of a previously developed artificial neural network (ANN)-based controller for a direct expansion (DX) air conditioning (A/C) system,on-line adaptive control system is introduced. The control ability tests for the controller were carried out using an experimental DX A/C system. The test results showed that the ANN-based on-line adaptive controller developed was able to control indoor air dry-bulb and wet-bulb temperatures both near and away from the operating condition at which an ANN-based dynamic model in the ANN-based on-line adaptive controller was initially trained,with a high control accuracy. The controller has some practical value. Also,it has a certain significance for other controller design.