在中央空调温度控制系统中设计应用了一种参数自寻优模糊控制器。针对中央空调温度控制系统被控对象非线性、大滞后和时变等特点，该模糊控制器在规则可调整模糊控制器基础上引入了加权因子α和比例因子K_u的在线调整优化算法。运行结果表明，这种算法增强了系统的鲁棒性，在不同工作条件下，系统保持了良好的控制品质。

On the basis of analyzing characteristics of the central air-conditioning system, a fuzzy controller with self-optimizing parameters is proposed and applied into the temperature control of the system. To deal with the non-linearity, time delay and time variation of the controlled system, a method for optimizing the weighting factor a and the output scaling gain K_u is adopted in the applied rule-adjustable fuzzy controller. The experimental result indicates that the optimization method enhances the robustness of the fuzzy controller. As the temperature of the cooling water and the temperature of the circumstances change, the controller maintains satisfactory performance.