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Simulation of a neural net controller for motor drives

✍ Scribed by Luiz Eduardo Borges da Silva; Germano Lambert Torres; Ernesto Castillo Saturno; Alexandre P. Alves da Silva; Xuan Dai Do

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
534 KB
Volume
38
Category
Article
ISSN
0378-4754

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✦ Synopsis

This paper describes the use of neural networks in a speed control loop applied to a DC motor. The proposed technique makes use of the learning capability of neural networks to implement an auto-adaptive control structure. Such capability allows the network to learn the dynamic behavior of the SCR-driven DC motor. This identification network is then used to train another network as the process controller, so that the process output follows the reference signal. An adaptation scheme for working conditions is also presented. Its performance is verified through testing of physical parameter variations and noise presence, showing the applicability of the system.

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