Paper Info
Title
Realization of Neural Network Inverse System with PLC in Variable Frequency Speed-Regulating System
Abstract
The variable frequency speed-regulating system which consists of an induction motor and a general inverter, and controlled by PLC is widely used in industrial field. However, for the multivariable, nonlinear and strongly coupled induction motor, the control performance is not good enough to meet the needs of speed-regulating. The mathematic model of the variable frequency speed-regulating system in vector control mode is presented and its reversibility has been proved. By constructing a neural network inverse system and combining it with the variable frequency speed-regulating system, a pseudo-linear system is completed, and then a linear close-loop adjustor is designed to get high performance. Using PLC, a neural network inverse system can be realized in actural system. The results of experiments have shown that the performances of variable frequency speed-regulating system can be improved greatly and the practicability of neural network inverse control was testified.
Year
DOI
Venue
2007
10.1007/978-3-540-72383-7_31
ISNN (1)
Keywords
Field
DocType
actural system,neural network inverse system,vector control mode,variable frequency,neural network,control performance,pseudo-linear system,high performance,variable frequency speed-regulating system,inverse system,inverse control,induction motor,linear system,vector control,mathematical model
Vector control,Inverter,Induction motor,Multivariable calculus,Flux linkage,Nonlinear system,Computer science,Control theory,Artificial neural network,Inverse system
Conference
Volume
ISSN
Citations 
4491
0302-9743
0
PageRank 
References 
Authors
0.34
1
6
Name
Order
Citations
PageRank
G. Guo17715.02
Fuliang Wang212.06
Yue Shen301.01
Hua-Wei Zhou4329.04
Hongping Jia500.68
Mei Kang610.70