摘要：AbstractIn this paper, a novel robust adaptive controller based on wavelet neural network is proposed for voltage-type magnetic levitation system with unknown control direction. First, coordinate transformation is used to simplify the model of the voltage-type magnetic levitation system. Second, the mean value theorem and Nussbaum function are used to deal with the problem of the implicit control input of nonlinear function and unknown control direction, the approximation to the unknown nonlinear function is realized by wavelet neural network. Finally, all the signals of the closed loop system are bounded according to Lyapunov function method.Brdys:99
关键词：KeywordsMagnetic levitation system (MLS)wavelet neural networkbacksteppingNussbaum functionrobust adaptive controlLyapunov function
