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系统工程理论与实践 1999
Research on Neural Networks Adaptive Controlfor Electro-hydraulic Systems
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Abstract:
In this paper, a scheme of nonlinear system control using neural networks is proposed to the electro hydraulic servo systems subjected unknown external load disturbances and parameters variations. This control system consists of two parts, a controller using neural networks and an identification using another neural networks.The simulation shows that the performance of the control system is independent of the plant parameters and the external disturbances when the structure of neural networks is selected appropriately. The affection of the factor of Sigmoid function shape, the unit numbers of neural networks and the learning times of neural networks are discussed.