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Content Provider | IEEE Xplore Digital Library |
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Author | Xianzhong Dai Guohai Liu Hao Zhang Xinghua Zhang |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Autom. Control, Southeast Univ., Nanjing, China (Xianzhong Dai) |
Abstract | An induction motor driven by a normal and low-cost inverter running in V/F mode, named as a variable frequency speed-regulating system in V/F, is widely used, but its control performance is not good enough to meet the needs of speed-regulation. So it is useful to improve its control performance without changing the original structure of variable frequency speed-regulating system (VFSRS). Considering the induction motor and the inverter as a whole controlled object, a mathematic model of such variable frequency speed-regulating system in V/F and its inverse model, with or without compensation, are given in this paper. Constructing a neural network inverse and combining it with the variable frequency speed-regulating system in V/F, a pseudo-linear system is completed. Then a linear close-loop adjuster is designed to obtain a better speed-regulating performance. Results of experiments demonstrate that speed-regulating performances can be greatly improved using this simple method. |
File Size | 606846 |
File Format | |
ISBN | 0780392523 |
DOI | 10.1109/IECON.2005.1569161 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-11-06 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Neural networks Control systems Frequency Intelligent networks Inverters Induction motors Chemical industry Nonlinear control systems Machine vector control Electric variables control |
Content Type | Text |
Resource Type | Article |
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