论文部分内容阅读
对不确定时滞系统 ,提出了一种新的模糊内模预估控制方法 .它的最大特点是采用智能化的模糊模型预估器作为被控过程的内部模型 ,对实际输出起预测作用 ,从而克服时滞对系统带来的不利影响 .同时 ,根据预测误差建立一模糊内模控制器 ,在线修正、补偿被控过程的模型失配 .数字仿真和电阻炉温度实时控制结果表明 ,这种控制方法优于常规控制方法 ;有一定的实用前景 .
For the uncertain time-delay system, a new fuzzy internal model predictive control method is proposed.The most prominent feature of this model is that it adopts the intelligent fuzzy model predictive model as the internal model of the controlled process, which plays a predictive role in the actual output, So as to overcome the adverse effect of time delay on the system.At the same time, a fuzzy internal model controller is established based on the prediction error to correct the model mismatch of the controlled process online.The results of real-time control of digital simulation and resistance furnace temperature show that this The control method is superior to the conventional control method; there is a certain practical prospect.