New approach of induction machine drive using an adaptive digital PID controller with gain planning based on artificial neural networks
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Data
1999-12-01
Autores
Bordon, Mario Eduardo [UNESP]
da Silva, Ivan Nunes [UNESP]
de Souza, Andre Nunes [UNESP]
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Resumo
The present work introduces a new strategy of induction machines speed adjustment using an adaptive PID (Proportional Integral Derivative) digital controller with gain planning based on the artificial neural networks. This digital controller uses an auxiliary variable to determine the ideal induction machine operating conditions and to establish the closed loop gain of the system. The auxiliary variable value can be estimated from the information stored in a general-purpose artificial neural network based on CMAC (Cerebellar Model Articulation Controller).
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Palavras-chave
Adaptive control systems, Asynchronous machinery, Closed loop control systems, Digital control systems, Electric drives, Intelligent control, Neural networks, Speed control, Cerebellar model articulation controller (CMAC), Gain planning, Three term control systems
Como citar
Proceedings of the American Control Conference, v. 3, p. 2153-2157.