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对一实际电液伺服系统进行了神经网络仿真研究。仿真结果表明,神经网络用于电液控制系统的辨识与自适应控制是可行的,可以解决电液控制系统中的非线性及其控制等问题。它对于增强系统的自适应能力、鲁棒性和稳态精度等都有令人满意的控制效果。
An actual electro-hydraulic servo system is simulated by neural network. The simulation results show that it is feasible to use the neural network to identify and control the electro-hydraulic control system, which can solve the problems of non-linearity and control in the electro-hydraulic control system. It has a satisfactory control effect for enhancing the system’s self-adaptability, robustness and steady-state accuracy.