Abstract
An artificial neural network is used as the feedback compensation element of a servovalve/ motor speed control system. The network is established on a variable gain/acceleration feedback principle and trained using computer simulation techniques. The network is then emulated as a real-time controller to significantly improve the speed characteristic of the motor. It is then shown how a feedforward network utilizing the motor pressure differential and speed may be readily adapted, in response to changes in motor speed, supply pressure and load torque, to track the prescribed input/output dynamic model.
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Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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