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This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator...
In this paper, the problem of tracking control for variable speed wind induction generator (IG) energy conversion system (WECS) is investigated using nonlinear predictive control. A rotor speed predictive control algorithm has been designed to control the angular speed of the machine in order to allow the WECS operate with maximum power extraction. The generator torque is estimated and injected into...
The paper presents a speed estimator for the induction motor (IM) drive. The estimation method is based on the rotor flux MRAS principle and uses sliding mode theory. In sensorless speed control, the accuracy and dynamic behavior of the speed estimate are important since this is used for feedback. The proposed estimation method uses the rotor fluxes as reference quantities in a MRAS scheme and attempts...
This paper investigates the use of an imaginary power based speed estimation algorithm for induction machines. The algorithm investigated was first proposed by Peng and Fukao in 1994, and has some very desirable characteristics such as insensitivity to knowledge of stator resistance, and does not use pure integrations. However, it has been shown that the algorithm does not operate stably under regeneration...
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