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This paper presents a self-tuned neuro-fuzzy controller (NFC) based speed ripple minimization of a vector controlled faulty induction motor (FIM) with broken rotor bars. First, the performance of the FIM is investigated in terms of speed ripple under the open-loop condition. Then, a new mechanical model of induction motor is developed incorporating the speed ripple. Based on this model a new NFC is...
This paper investigates the state of the art work on intelligent controllers for interior permanent magnet motor (IPM) motor drive applications. Particular attention is paid for fuzzy logic, neural network, and neuro-fuzzy controllers. In many applications, especially in controlling nonlinear, time varying, and ill defined systems artificial intelligent controllers (AICs) have been proved to be superior...
In this paper a simplified self-tuned neuro-fuzzy controller (NFC) is developed for speed control of an induction motor (IM) drive. The proposed NFC combines fuzzy logic and a four-layer artificial neural network (ANN) scheme. Based on the knowledge of motor control and intelligent algorithms an unsupervised self-tuning method is developed to adjust membership functions and weights. Unlike conventional...
A novel filter based adaptive neuro-fuzzy (NF) speed controller coupled with an adaptive flux regulation for indirect field oriented induction motor (IM) drives is presented in this paper. A first order low pass digital infinite impulse response (IIR) filter is used in the input side of the proposed NF speed controller, which significantly softens the torque command generated by the adaptive neuro-fuzzy...
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