摘要

A robust adaptive backstepping control method for electro-hydraulic position servo system is investigated. For uncertainties nonlinear math model of electro-hydraulic position servo system, designed cerebellar model articulation controller (CMAC) neural network to estimate the system unknown uncertainties, then used backstepping method to acquire control Lyapunov functions (CLFs) step by step. Based on Lyapunov stability theory, designed robust adaptive controller and CMAC neural network weights turn laws, which can guarantee the output tracking error converging to zero while the system states are bounded. The simulation results demonstrate that the proposed adaptive backstepping controller have the good tracking performance and strong robustness to the parameter uncertainties and external loading perturbation.

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