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This paper presents a new loss-model-based controller for an induction motor drive. Among the many loss minimization algorithms (LMA) for an induction motor, a loss-model-based approach has the advantages of fast response and high accuracy. However, the performance of the loss-model controller (LMC) depends on the accuracy of the modeling of the motor drive(More)
In this paper, a novel adaptive neuro-fuzzy (NF)-based speed control of an induction motor (IM) is presented. The proposed NF controller (NFC) incorporates fuzzy logic laws with a five-layer artificial neural network scheme. In this controller, only three membership functions are used for each input for low computational burden, which will be suitable for(More)
This paper investigates the performance of a fuzzy-logic-controller (FLC)-based cost-effective drive system of interior permanent-magnet synchronous motor (IPMSM) for high-performance industrial applications. In this paper, the FLC is used as a speed controller and the motor is fed from a four-switch three-phase (4S3Ph) pulsewidth-modulation (PWM) inverter(More)
This work presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The(More)
Among the numerous loss minimization algorithms, a loss-model-based approach offers a fast response without torque pulsations. However, it requires the accurate loss model and the knowledge of the motor parameters. Therefore, a technical difficulty in deriving the loss-model-based controller (LMC) lies in the complexity of the full loss model and the online(More)
A hybrid neuro-fuzzy scheme for the online tuning of a genetic based proportional-integral (PI) controller for interior permanent magnet synchronous motor (IPMSM) drives is presented in this paper. The proposed controller is developed for accurate speed control of the IPMSM drive under various system disturbances. In this work, initially different operating(More)
This paper presents a model reference adaptive flux (MRAF) observer based neuro-fuzzy controller (NFC) for an induction motor (EM) drive. An improved observer model is developed based on a reference flux model and a closed-loop Gopinath model flux observer which combines current and voltage model flux observers. The d-axis reference flux linkage of the(More)
A hybrid neuro-fuzzy scheme for online tuning of a genetic-based proportional-integral (PI) controller for an interior permanent-magnet synchronous motor (IPMSM) drive is presented in this paper. The proposed controller is developed for accurate speed control of the IPMSM drive under various system disturbances. In this work, initially different operating(More)
  • M. N. Uddin
  • Fourtieth IAS Annual Meeting. Conference Record…
  • 2005
This paper presents an adaptive filter based torque ripple minimization (TRM) of a fuzzy logic controller (FLC) for speed control of an interior permanent magnet synchronous motor (BPMSM) drive. A simple and effective first order digital infinite impulse response (HR) filter is utilized to reduce the torque ripple introduced by the FLC. The gain of the(More)
This paper investigates the performance of a 4-switch, 3-phase inverter (4S3P) fed cost effective induction motor (IM) drive system for high performance industrial drive systems. In the proposed approach, instead of a conventional 6-switch, 3-phase inverter (6S3P) a 4-switch, 3-phase inverter is utilized. This reduces the cost of the inverter, the switching(More)