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《Proceedings of the Csee》 2005-07
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NEURAL NETWORK INVERSE CONTROL OF VARIABLE FREQUENCY SPEED-REGULATING SYSTEM IN V/F MODE

DAI Xian-zhong 1,LIU Guo-hai 2,ZHANG Xing-hua3 (1. Dept. of Automatic Control, Southeast University, Nanjing 210096, Jiangsu Province, China; 2. School Of Electrical And Information Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China 3. Engineering University of Nanjing, Nanjing 210000,Jiangsu Province, China)  
The induction motor feeded by a general and low-cost inverter in V/f mode, named as a variable frequency speed-regulating system in V/F, is widely used and its control performance is not good enough to meet the needs of speed-regulating. So it is useful to improve its control performance without changing the original structure of variable frequency speed-regulating system. Considering the induction motor and the inverter as a whole controlled object, this paper gives the mathematic model of the variable frequency speed-regulating system in V/f and its inverse model with or without compensation. Constructing a neural network inverse and combining it with the variable frequency speed-regulating system in V/f complete a pseudo-linear system. Then a linear close-loop adjustor is design to obtain the good speed- regulating performance. Results of experiments demonstrate that speed-regulating performances can be greatly improved using this simple method.
【Fund】: 国家自然科学基金项目(60174004);; 江苏省自然科学基金项目(BK2003049)~~
【CateGory Index】: TM921
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