Application of fuzzy model reference learning control to static hot-box devices

The fuzzy model reference learning control with self-learning mechanism can automatically adjust the fuzzy control rules of a fuzzy controller and thereby control performance is continually improved, so optimum control effect can be obtained. Presents the principle of this control method. Applies the method to controlling air temperature in the static hot-box device and compares the control performance with that of PI control. The result indicates that the fuzzy model reference learning control has quicker dynamic response and the same steady accuracy as PI control, but its overshoot is slightly larger.