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This paper addresses the method for total parameters identification in speed sensorless induction motor drives. By total parameters identification, it means that all the inverse-Γ circuit parameters are poorly known and need to be identified. Based on the parameter sensitivity, an alternating-current (AC) signal of medium frequency (25 Hz) is superimposed onto the stator magnetizing current, so that...
The Linear parameter Varying and sliding mode observers are studied in this paper. Both the rotor resistance and speed variation are considered. The design of the considered observers is described in detail. In order to conduct a comparative study, the measurements used for both observers are assumed available on an equal basis. Equally, the same controllers parameters are used in simulation of a...
This paper focuses on an effective method for both stator and rotor resistance on-line observation of induction machine driven without mechanical speed sensor. These resistances change over a large range with both the temperature and the flux frequency, making on-line adaptation of these parameters necessary to reach a precise speed observer. To do so, the sensitivity of the speed observation with...
The effect of parametric variations in three phase induction motor such as stator resistance, rotor resistance, leakage and mutual inductances on the induction motor performance variables such as input power, output power, stator current, starting current, magnetizing current, power factor, efficiency, developed torque and starting torque have been analysed. A nonlinear polynomial of the induction...
This paper presents a new adaptive speed estimation technique for the vector controlled induction motor drive. A model reference adaptive system (MRAS) is formed using instantaneous and steady state values of V * × I in the reference and adjustable models respectively. Such formulation does not require flux estimation and is stable in all the 4- quadrants of operation. Proposed MRAS with stator resistance...
A Novel model reference adaptive system (MRAS) based speed estimation technique is presented in this paper. The speed estimator utilizes instantaneous and steady state values of V⃗* × I⃗ in the reference and adjustable models of the MRAS respectively. The major advantages of this method are: (i) flux estimation is not required and (ii) the method is stable in all the 4-quadrants of operation. The...
The full-order Luenberger flux observer (FOLO) combined with adaptive techniques is the most widely used method for sensorless induction machine (IM) vector controlled drives. However, IM model-based sensorless schemes have an inherently unstable region under regenerating conditions. Additionally, the stator resistance is also required at low speeds, which leads to a complicated multiple-input multiple-output...
Natural field orientation (NFO) control was first developed in the mid 1980s and is a simplified version of the stator flux oriented (SFO) control. NFO has some unique properties, including very high tolerance to the stator resistance errors. In this paper NFO's sensitivity to this and other parameter errors is explored, and its parameter robustness is compared to the polar form of SFO. A simple augmentation...
In the last decades, several schemes have been proposed for speed-sensorless control of induction motor (IM) drives. Promising approaches are closed-loop observers, as Model reference adaptive systems (MRAS) and Kalman filters. Recently, open-loop estimators have aroused lively interest because of their simplicity and low-cost profile. As known, open-loop algorithms use only motor equations to derive...
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