控制方法有很多种,经典的控制方法是其一,该控制方法运用方便,但鲁棒性差,智能控制算法是针对于非参数模型的,在性能方面有所提高,却面临着算法复杂,在试验设置和工业生产中应用不够方便快捷。因此我们选择将经典和智能控制方法相结合。在已知温控对象模型的情况下,我们可以选择Smith预估控制器仿真模型。当温控对象不是典型的模型的时候,我们就选择将模糊控制和传统的PID控制方法相结合,从而形成模糊自适应PID控制方法。 There are many control methods, one of the classic control methods, the control method is easy to use, but poor robustness, intelligent control algorithm is aimed at non-parametric model, has improved in performance, but faced with the algorithm is complex, in the Test set up and industrial application is not easy and quick enough. So we chose to combine classic and intelligent control methods. In the case of known temperature control object model, we can choose Smith predictive controller simulation model. When the temperature control object is not a typical model, we choose to combine the fuzzy control with the traditional PID control method to form the fuzzy adaptive PID control method.