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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Liu, G., Wang, F., Shen, Y., Zhou, H., Jia, H., Kang, M. (2007). Realization of Neural Network Inverse System with PLC in Variable Frequency Speed-Regulating System. In: Liu, D., Fei, S., Hou, ZG., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72383-7_31
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DOI: https://doi.org/10.1007/978-3-540-72383-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72382-0
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