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首页> 外文会议>IEEE International Conference on Information and Automation >Self-Tuning Fuzzy PID Controller for Temperature Control in Variable Air Volume Air Conditioning Systems
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Self-Tuning Fuzzy PID Controller for Temperature Control in Variable Air Volume Air Conditioning Systems

机译：用于可变风量空调系统温度控制的自调整模糊PID控制器

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Considering the multi-variable, nonlinearity, time lag and time variation characters of Variable Air Volume (VAV) air conditioning systems, it is difficult for traditional Fuzzy Logic Controller (FLC) or Proportional Integral Derivative (PID) control to get good control performance. In order to overcome the shortcoming of conventional controller, the fuzzy PID composite control method is proposed. This paper builds the mathematical model of the controlled plant and proposes a self-tuning fuzzy PID (SFPID) controller in VAV air conditioning systems, which increases a fuzzy rule base to control the integral parameter of conventional Proportional Integral (PI) controller and applies the modifying factor in controller. Through online adjustment of the integral coefficient and the modifying factor, fuzzy control rule of conventional fuzzy controller is adjusted to improve its function. Simulation is carried to verify the presented theory. Obtained results show that the proposed controller not only is robust, but also gives excellent dynamic and steady-state characteristics compared with traditional controllers.
机译：考虑到多变量，非线性，时间滞后和变量空气调节系统的时间变化特征，传统的模糊逻辑控制器（FLC）或比例积分衍生物（PID）控制难以获得良好的控制性能。为了克服传统控制器的缺点，提出了模糊PID复合控制方法。本文构建了受控设备的数学模型，提出了VAV空调系统中的自调谐模糊PID（SFPID）控制器，该系统增加了模糊规则基础，以控制传统比例积分（PI）控制器的积分参数，并应用控制器中的修改因子。通过在线调整积分系数和改变因子，调整了传统模糊控制器的模糊控制规则以提高其功能。仿真是为了验证所提出的理论。获得的结果表明，与传统控制器相比，所提出的控制器不仅具有稳健性，而且还提供了出色的动态和稳态特性。

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