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A. Ferrah, K. J. Bradley. P. J. Hogben-Laing, M. S. Woolfson, G. M. Asher, M. Sumner, J. Cilia and J. Shuli, “A Speed Identifier for Induction Motor Drives Using Real-Time Adaptive Digital Filtering,” IEEE Transactions on Industry Applications, Vol. 34, No. 1, 1998, pp. 156-162. doi:10.1109/28.658741

has been cited by the following article:

• TITLE: Sensorless Vector Control of Induction Generators for Variable-Speed Wind Turbines Using Micro-2407

  AUTHORS: Rabinarayana Parida, Bibhu Prasad Nanda, Jibanananda Mishra

  KEYWORDS: Fuzzy Logic; Induction Generator; Induction Motor Drives; Spectral Analysis; Wind Energy

  JOURNAL NAME: Energy and Power Engineering, Vol.4 No.4, June 25, 2012

  ABSTRACT: A sensorless vector-control strategy for an induction generator in a grid-connected wind energy conversion system is presented. The sensorless control system is based on a model reference adaptive system (MRAS) to estimate the rotational speed. In order to tune the MRAS observer and compensate for the parameter variation and uncertainties, a separate estimation of the speed is obtained from the rotor slot harmonics using an algorithm for spectral analysis. This algorithm can track fast dynamic changes in the rotational speed, with high accuracy. Two back to back pulse width modulated (PWM) inverters are used to interface the induction generator with the grid. The front-end converter is also vector controlled. The dc link voltage is regulated using a PI fuzzy controller. The proposed sensorless control strategy has been experimentally verified on a 2.5-kW experimentally set up with an induction generator driven by a wind turbine emulator. The emulation of the wind turbine is performed using a novel strategy that allows the emulation of high-order wind turbine models, preserving all of the dynamic characteristics. The experimental results show the high level of performance obtained with the proposed sensorless vector-control method.