Vibration Control of Nonlinear System Using Rbf-based Sliding Mode Control
نویسندگان
چکیده
In this paper, the combination of RBF (Radial Basis Function) neural network and sliding mode control, which is used for vibration control, is examined. The approach is based on a sliding mode control methodology which drives the system towards a sliding surface by tuning the parameters of the controller using Gaussian radial basis function neural network. The input and output of RBF neural network are switching function and the controller output respectively. A nonlinear single degree of freedom building structure undergoing earthquake loads is simulated. The simulation results show that the controller can reduce the vibration caused by the earthquake load dramatically.
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