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《Journal of Beijing University of Chemical Technology》 2005-02
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Low velocity problems in a servo system by internal model control based on an inverse system method

DONG Cui-ying CHEN Juan(College of Information Science and Technology, Beijing University of Chemical Technology,Beijing 100029,China)  
Internal model control(IMC) based on neural networks inverse system method was used to control a servo system, for the compensation of results of a conventional method is not desired to the servo system with low velocity jittering. Simulation results show that the method used has improved the low velocity properties of the servo system, with high accuracy and simple design.
【CateGory Index】: TM921.5
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