An Improved Vibration Controller for Precision Manufacture Based on Youla Parametrization and Fuzzy Logic

Abstract

Vibration affects the function of precision instruments and equipment, causing major structural deformation and damage. Strong vibration and noise cause serious public hazards. Therefore, vibration is considered to be a negative factor. There are many methods for designing vibration controllers, such as machine learning algorithms and artificial intelligence algorithms. In order to reduce the harm of vibration, this paper proposes an improved Youla parameterized adaptive controller to suppress fixed or time-varying sinusoidal disturbances. The algorithm uses fuzzy control to adjust the forgetting factor, so that the system quickly reaches a steady-state and keeps the steady-state error unchanged. The paper illustrates that the improved Youla parameterized adaptive controller can suppress the disturbance. The convergence speed of this algorithm is better than the original Youla parameterized adaptive controller, and the steady-state error is basically unchanged.