基于选择性自校正的模糊动态矩阵控制

Fuzzy Dynamic Matrix Control Based on Selective Self-tuning

针对实际系统模型失配不确定性及其难以控制的问题,提出了一种基于选择性自校正的模糊动态矩阵控制方法。在模型失配较大,基础动态矩阵控制自身的反馈校正无法实现理想的控制时引入最小二乘法在线辨识对象模型。同时为了得到更准确的模型,辨识过程尽可能避开了扰动的影响,对反馈校正参数采用模糊调节的方法。仿真研究结果表明,即使对于纯滞后非最小相位且有扰动的系统,在其参数与结构发生变化时,该控制方法保证了较好的鲁棒性和抗扰性。

A scheme of fuzzy dynamic matrix control （DMC）based on selective self-tuning is proposed to solve the problem of uncertainty of the mismatched model. In the presence of bad mismatched model, the least-square method is employed to identify the model since the DMC cannot get good performance. In order to get more precise model, the process of identification avoids the effect of the disturbance. In addition, fuzzy control is introduced to adjust the parameter of the feedback correction. The effectiveness of the proposed method is verified by the simulation results for a non-minimum-phase plant with time delay.