基于支持向量机α阶逆系统方法的污水处理内模控制

Internal Model Control of Nonlinear Sewage Disposal System Based on α-order Inverse System of Support Vector Machine

污水处理系统由于其系统本身的复杂性和变量之间的耦合性导致系统很难进行线性控制,为了实现对污水处理系统的线性控制,采用逆系统进行解耦,利用支持向量机算法来拟合污水处理系统的逆模型,将拟合得到的逆系统模型与原系统相串联复合成伪线性系统,从而将强耦合的污水处理系统解耦成SISO系统。针对伪线性系统在抗干扰性和鲁棒性方面的不足,将内模控制、逆系统方法以及支持向量机三者结合构成基于SVMα阶逆系统的内模控制方法来增强系统的抗干扰性和鲁棒性。

Sewage disposal system has not only strong nonlinearity and high-level time delay, but also strong coupling because of the system＇s complexity and coupling among variables. As a result, it is very hard to make a system model under normal circumstances. However, inverse system decoupling relies on an accurate model. Therefore, in order to decouple sewage disposal system and make a linear control, this essay is concerned with fitting inverse model of sewage disposal system by means of the SVM and then combines the fitted inverse system with the original system model to form a pseudo-linearization system so as to make the strong coupling sewage disposal system decouple into SISO system. Considering the pseudo-linearization＇s lack of anti-interference and robustness, the essay aims at putting internal model control, inverse system method and support vector machine together to produce an internal model control method based on SVM α-order inverse system to enhance the anti-interference performance and robustness of the system.