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首页> 外文会议>IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 >Research on Decoupling Control in Temperature and Humidity Control Systems
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Research on Decoupling Control in Temperature and Humidity Control Systems

机译：温湿度控制系统中的解耦控制研究

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摘要

Temperature and humidity are two highly coupled variables in a control system, which need to be decoupled for effective control. Moreover, the coupling problem may get more severe and the two control loops may produce a strong interference to each other that can cause system instability when the humidity is measured by dry-and-wet bulb method. In this study, a control method based on fuzzy-neural-network was studied for solving the coupling problem. The shape of membership function can be adjusted in time by using a wavelet basis as the fuzzy membership function. An effective real-time decoupling control system for temperature and humidity could be realized by neural network fuzzy inference. Decoupling control tests were conducted in a control room with 1.6 m × 1.0 m × 4.0 m. The results show that the performance of the control system on dynamic response speed, stability, and anti-jamming have been improved after decoupling.
机译：温度和湿度是控制系统中两个高度耦合的变量，需要对其进行解耦以进行有效控制。此外，耦合问题可能会变得更加严重，并且两个控制回路之间可能会产生强烈的干扰，从而在通过干湿球法测量湿度时会导致系统不稳定。为了解决耦合问题，研究了一种基于模糊神经网络的控制方法。隶属函数的形状可以通过使用小波基作为模糊隶属函数来及时调整。通过神经网络模糊推理，可以实现有效的温湿度实时解耦控制系统。去耦控制测试是在1.6 m×1.0 m×4.0 m的控制室中进行的。结果表明，解耦后，控制系统在动态响应速度，稳定性和抗干扰方面的性能得到了改善。

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