有量化输入的受干扰磁悬浮系统的鲁棒自适应渐近跟踪控制

This paper investigates two problems in magnetic levitation systems based on nonlinear modeling: The oscillation caused by time-varying disturbance and the loss of the date when the information transmits over a communication network. Firstly, the uncontrollable nonlinearity of magnetic levitation systems is dominated by homeomorphic coordinate transformation. Then, this paper not only introduces the adaptive law and the exponential decay term to eliminate external wind resistance and internal noise voltage respectively, but also combines the exponential decay term with the quantization decomposition method to compensate for the effect of quantization error. The continuous robust adaptive feedback controller is constructed to solve the asymptotic tracking problem of magnetic levitation systems with quantized input and disturbances. Finally, the simulation results show the effectiveness of the proposed control strategy.