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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。
Due to the complexity of the system itself and the coupling between the variables, the sewage treatment system is difficult to be linearly controlled. In order to realize the linear control of the sewage treatment system, the inverse system is used for decoupling and the support vector machine algorithm is used to fit Inverse model of sewage treatment system, the fitted inverse system model is combined with the original system into pseudo-linear system in series to decouple the strongly coupled sewage treatment system into SISO system. Considering the shortcoming of anti-interference and robustness of the pseudo-linear system, the internal model control, the inverse system method and the support vector machine are combined to form the internal model control method based on the SVM α -order inverse system to enhance the anti-interference of the system and Robustness.