A neural based position controller for an electrohydraulic servo system
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Date
2011
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info:eu-repo/semantics/closedAccess
Abstract
This paper proposes a neural network based controller for controlling the position of an electrohydraulic servo system. Feedforward network structure, which consists of an input and output layer with one linear neuron, a hidden layer with two nonlinear neurons, is used for the related controlling, and backpropagation algorithm (BP) is implemented for the learning process. Du to the adaptability and robustness, the neural network based model reference adaptive control scheme gives very successful control results. The simulation gives that the proposed adaptive neural controller has better control performance than that of the standard PID controller. This kind of neural controllers could be utilized in experimental investigation of electrohydraulic servo systems.
Description
11th WSEAS International Conference on Robotics, Control and Manufacturing Technology, ROCOM'11, 11th WSEAS International Conference on Multimedia Systems and Signal Processing, MUSP'11 -- 8 March 2011 through 10 March 2011 -- Venice -- 84865
Keywords
Adaptive control, Electrohydraulic servo system, Model reference control, Neural networks
Journal or Series
11th WSEAS International Conference on Robotics, Control and Manufacturing Technology, ROCOM'11, 11th WSEAS International Conference on Multimedia Systems and Signal Processing, MUSP'11
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