Application of fuzzy PID controller in flexible vibration system
模糊PID控制器在柔性振动系统中的应用

摘要

根据对柔性结构的控制方式，可以把分为主动式和被动式柔性振动控制。这些技术都不依靠外界能量的供应，以吸热来达到减振效果。传统PID控制器具有结构简洁、工作稳定、可靠性好等优点，已广泛应用于精确的数学控制系统。当存在多变量、非线性和滞后时，传统PID控制器很难达到理想的效果。由于技术水平的提高，使得控制技术日益受到人们的重视，各种新型的模糊控制器应运而生。然而，单一的模糊控制方法存在着控制效果较弱，且控制的精确性无法满足设计需要等缺陷。传统PID控制结合自适应模糊控制可以很好地解决这些问题，通过将由操作系统所发生的差错和纠错率反馈给模糊控制器，动态调整PID控制器的比例、积分和微分参数，使得整个系统处于最优的工作环境。最后在Simulink搭建模糊控制器并实现较好的控制效果。

Abstract

According to the control mode of flexible structure, it can be divided into active and passive flexible vibration control. These technologies do not rely on the supply of external energy to absorb heat to achieve vibration damping. Traditional PID controllers have the advantages of simple structure, stable work and good reliability, and have been widely used in accurate mathematical control systems. When there is multivariation, nonlinearity, and hysteresis, it is difficult for traditional PID controllers to achieve the desired results. Due to the improvement of technical level, control technology has received more and more attention, and various new types of fuzzy controllers have emerged. However, a single fuzzy control method has the disadvantages of weak control effect and control accuracy that cannot meet the design needs. Traditional PID control combined with adaptive fuzzy control can solve these problems well, by feeding back the error and error correction rate of the operating system to the fuzzy controller, and dynamically adjusting the proportion, integration and differential parameters of the PID controller, so that the whole system is in the optimal working environment. Finally, a fuzzy controller is built in Simulink to achieve a better control effect.