聚类自适应模糊控制及其在多温区电加热炉中的应用

本文提出一种新型的自适应模糊控制 ,结合“逆系统法”的思想和 VRE技术 ,将聚类算法和常规模糊控制加权求和得到系统的控制量 ,对一类非线性、大延迟、强耦合的对象进行控制 .实验表明该方法自适应和鲁棒性强 ,实时性好 ,具有一定的工程实用性

Neighborhood Clustering Adaptive Fuzzy Control and Its Application in the Electric Heat Furnace with Multiple Temperature Zones

A novel control method for the nonlinear and complex system with environmental uncertainties and variable parameters is proposed by means of the neighboring algorithm, the fuzzy control theory and the VRE technology. The method has not only made use of the static know ledge expressed by the fuzzy table, but also taken advantage of the dynamic knowledge through learning the inverse dynamic property of the controlled plant. The control variable, which is the summation of fuzzy control output variable and neighboring output variable with different weight, can be adjusted with the variety of parameters and the occurrence of the disturbance, thus the system achieved strong adaptivity and robustness and arrived at a predictive performance index. The algorithm was experimentally implemented on the electrical heating furnace with multiple zones and the results clearly demonstrate the advantages of this method.