Bordon, Mario Eduardo [UNESP]da Silva, Ivan Nunes [UNESP]de Souza, Andre Nunes [UNESP]2014-05-272014-05-271999-12-01Proceedings of the American Control Conference, v. 3, p. 2153-2157.0743-1619http://hdl.handle.net/11449/65949The 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).2153-2157engAdaptive control systemsAsynchronous machineryClosed loop control systemsDigital control systemsElectric drivesIntelligent controlNeural networksSpeed controlCerebellar model articulation controller (CMAC)Gain planningThree term control systemsTrabalho apresentado em evento10.1109/ACC.1999.786327Acesso aberto2-s2.0-003328496355898388442982328212775960494686