室内热舒适环境的模糊关系矩阵模型控制系统

针对复杂非线性系统中多个输出不能解耦的控制问题,基于实际系统的采样数据,利用矩阵半张量积运算建立模糊关系矩阵模型,得出一种新型模糊控制器设计方法.将传统模糊控制中的推理过程和模糊规则的建立转化成矩阵运算,有效避免了建模和控制的复杂性.将其应用于室内热环境舒适度控制系统中,基于室内外的温度、湿度等多个变量的采样数据对,给出具体的模糊关系矩阵的建立过程,设计得出新型模糊控制器.仿真和实验结果表明,该方法能够实现室内热环境的舒适度控制,并且不需要进行多变量之间的解耦.

Fuzzy relation matrix model control system for indoor thermal comfort

For nonlinear control systems with multiple outputs which cannot be decoupled, we make use of the sampling data of the real system to obtain a fuzzy relation matrix model via the semi-tensor product (STP) operation of matrices, and design a novel fuzzy controller based on this model. In this method, the traditional fuzzy logic-reasoning and fuzzy rulebuilding in the fuzzy control system are converted into matrix algebraic computations, effectively reducing the complexity in modeling and control. This method has been applied to design the controller for indoor thermal comfort control. On the basis of the indoor and outdoor temperature, humidity etc., we calculate the fuzzy relation matrix and build the fuzzy controller. Experiments and simulation results show that this fuzzy controller can realize the optimal control of the thermal comfort system, without the need of decoupling multiple outputs.