模糊模型参考学习控制在静态热箱试验装置中的应用
Application of fuzzy model reference learning control to static hot-box devices
摘要：
模糊模型参考学习控制是一种具有自学习机制的模糊控制 , 在控制过程中能自动调整模糊控制规则表 , 使其控制性能得到不断改善 , 从而达到理想的控制效果 。 介绍了这种控制算法的原理 。采用这种控制算法对静态热箱装置的空气温度进行了控制 , 并与 PI 控制进行了比较 。 结果表明 , 模糊模型参考学习控制具有响应快的优点 , 同时具有与 PI控制同样高的稳态精度 , 但超调量比 PI控制稍大 。
关键词：模糊模型参考学习控制,静态热箱装置,空气温度,自学习调整器,动态响应
Abstract：
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.
Keywords:fuzzy model reference learning control, static hot-box device, air temperature, self-learning regulator, dynamic response