基于改进二叉树模型的粘滞补偿方法研究

Research on Viscosity Compensation Method Based on Improved Binary-tree Model

针对工业调节阀中广泛存在的粘滞现象,提出一种改进的二叉树模型,并分别采用模糊内模Smith控制方法与改进的Knocker信号方法进行补偿。首先对原二叉树模型进行改进,并增加对输入信号变化率的判断条件。设计基于模糊原理的Smith内模控制系统,将内模与模糊原理结合实现参数的自整定,减少系统震荡;在经典的Knocker信号补偿基础上添加阈值判断,在补偿粘滞的同时,还可从理论上减少阀门的频繁动作,增加阀门的使用寿命。仿真结果表明,改进后的模型能有效描述粘滞特性,两种方法均可有效补偿粘滞问题,提升系统性能。

An improved Binary-tree model is proposed to solve the stiction problem, and the fuzzy internal model Smith control method and the improved Knocker signal compensation method are used to compensate this problem. Firstly, improve its deficiencies when the dynamic friction is 0. And increase the judgment condition of the input signal rate, modify the model of improved two binomial tree model. The fuzzy internal model Smith control method can achieve the parameters of the system, reduce the shock, compensation stiction problem;adding threshold in Knocker signal at the same time, also can reduce the frequent movement of the valve from theory, increase the service life of the valve. The simulation results show that the improved model can effectively describe the viscous characteristics, and the two methods can effectively compensate the viscous problem and improve the performance of the system.