|Adaptive Wavelet Neural Network Controller for Active Suppression Control of a Diaphragm-Type Pneumatic Vibration Isolator
Hung-Yi Chen and Jin-Wei Liang
International Journal of Control, Automation, and Systems, vol. 15, no. 3, pp.1456-1465, 2017
Abstract : "This paper applies an intelligent control scheme to investigate a diaphragm-type pneumatic vibration
isolation (PVI) problem. Adaptive wavelet neural network (AWNN) control is employed to control the PVI system
which has inherited nonlinear and time-varying system characteristics. Since AWNN has excellent approximation
capability originating from wavelet decomposition property and online learning ability stemming from neural networks,
the method is especially suitable for the PVI control applications. In this paper, the adaptive learning rates
are derived based on the Lyapunov stability theorem. Therefore, the stability of the closed-loop system can be
assured. To validate the proposed method, a composite control scheme using pressure and velocity measurements
as feedback signals is implemented. During experimental investigations, sinusoidal excitation with the excitation
frequency close to the resonance and random-like signal are input on a floor base to simulate ground vibrations.
Performances obtained from the proposed control scheme are compared with those obtained from passive isolation
and PID scheme to illustrate the effectiveness of the proposed intelligent control."
Keyword : "Adaptive wavelet neural network, diaphragm-type pneumatic vibration isolation system, pressure and velocity measurements."