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A Neural Network On-line Self-learning Adaplive Control of Electro-hydraulic Servo System

Wu Jianxing Liu Yijiang Yi Ligang Tonghua  
In this paper,a neural network on line self learn adaptive control and OSC compensate control based on the feedback error learning and wavelet analytic theory combined with identification idea faced controlling is introduced.The control parameters can be regulated on line by using the measured input/output data with feedback error learning method,OSC get up of supervise control function,so as to prevent the output of the controller income oscillation and saturation.Application results show the control method can effectively enhance the control performances of the system by introducing process identification in neural network learning and controlling.
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