NDLI: Neural Network Inverse Synchronous Control of Two-motor Variable Frequency Speed-Regulating System

Content Provider	IEEE Xplore Digital Library
Author	Xianzhong Dai Guohai Liu Hao Zhang Yue Shen
Copyright Year	2006
Description	Author affiliation: Dept. of Autom. Control, Southeast Univ., Nanjing (Xianzhong Dai)
Abstract	According to the characteristics of an inverter running in V/F mode and two-motor variable frequency speed-regulating system, a united mathematical model of such system is proposed. Such a system is proved to be invertible. A static nerve network and a dynamic nerve network composed of integral are employed to construct the inverse system. A speed linear sub-system and a tension linear sub-system can be obtained by combining such a neural network inverse with the original system. Speed and tension control of two-motor variable frequency speed-regulating system can be decoupled using the proposed neural network inverse synchronous control method, and high-performance speed and tension control can be obtained by designing two additory linear close-loop adjusters. The experimental results show that the static and dynamic performance of the system is very good, and robustness to load disturbance is achieved. The difficult problem of multi-motor synchronous decoupling control can be solved
Sponsorship	IEEE SYSTEMS, MAN AND CYBERNETICS SOC
Starting Page	1070
Ending Page	1075
File Size	794324
Page Count	6
File Format	PDF
ISBN	1424400651
DOI	10.1109/ICNSC.2006.1673300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Control systems Frequency Optimal control Linear feedback control systems Induction motors Inverters Mathematical model Mathematics DC motors
Content Type	Text
Resource Type	Article

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