论文部分内容阅读
针对在污水处理过程中存在的多变量相互影响,单变量控制显然不能满足其要求的情况下,本文提出了2种分级多变量模糊控制方法,分别为基于模糊PID-Smith和模糊理论的2级控制和基于双模糊PID-Smith理论的2级控制。这2种控制方法均采用1个双输入、单输出的控制器,它在结构上分为2级,其中基于模糊PID-Smith和模糊理论的2级控制器的第1级结构为模糊PID-Smith控制,第2级结构为模糊控制;而基于双模糊PID-Smith理论的2级控制的2级结构均为模糊PID-Smith控制。这2种控制器的设计方法不但解决了多变量模糊控制规则难以制定的问题,又充分的考虑了其他因素对控制量DO的影响,从而实现了污水处理过程中的多变量模糊控制。本文利用MATLAB软件实现了这2种控制方法的设计与仿真,并和单变量模糊控制进行了比较,总结了多变量模糊控制的特点和优势,指明了把多变量模糊控制应用于污水处理系统是切实可行的。
In view of the multivariate interaction that exists in the sewage treatment process, the univariate control obviously can not meet the requirements. In this paper, two hierarchical multivariable fuzzy control methods are proposed, which are respectively based on fuzzy PID-Smith and fuzzy theory Control and Level 2 Control Based on Double Fuzzy PID-Smith Theory. Both of these two control methods adopt a double-input and single-output controller which is divided into two levels in structure. The first-level structure of the second-level controller based on fuzzy PID-Smith and fuzzy theory is fuzzy PID- Smith control, the second-level structure is fuzzy control; and the two-level structure of the two-level control based on the double-fuzzy PID-Smith theory is fuzzy PID-Smith control. The design methods of these two kinds of controllers not only solve the problem of multivariable fuzzy control rules difficult to formulate, but also fully consider the influence of other factors on DO, so as to realize multivariable fuzzy control in sewage treatment. In this paper, MATLAB software was used to design and simulate the two control methods, and compared with the single variable fuzzy control, the characteristics and advantages of multivariable fuzzy control were summarized, and the application of multivariable fuzzy control to the sewage treatment system Practicable.