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This paper introduces designing of a Takagi-Sugeno (T-S) fuzzy, state feedback controller so as to have optimal and robust full-range speed control over the wounded rotor induction motor. A slip energy recovery drive system, using 12-pulse converter and a shunt chopper is used as a modified system to drive a slip ring induction motor, which is coupled with a class of nonlinear uncertain load. Using...
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...
In this paper an accurate loss model-based controller to calculate the optimal air gap flux is proposed. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction...
Induction Motor (IM) speed control is an area of research that has been in prominence for some time now. In this paper, a nonlinear controller is presented for IM drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding mode control (SMC) to obtain a robust, fast and precise control of IM speed. The input-output feedback linearization...
This paper introduces a new simple sensorless algorithm of estimating the permanent magnet synchronous motor (PMSM) speed and position. The proposed estimation method is implemented using a stator flux/current and a modified back electromotive force (EMF) observer connected in cascade. The flux/current observer based on sliding mode techniques ensures stator currents convergence while the modified...
For speed sensorless stator-flux-oriented control (SFOC), the accuracy of the estimated flux position decides the performance of the speed sensorless drive. In this paper, a novel flux estimation method is proposed in which the pure integrator is replaced by a low pass filter (LPF) to resolve the DC-drift and saturation problem and the phase error with the LPF is approximately compensated by the reference...
This paper describes a new flux observer with voltage error compensation for sensorless AC motor drives. Incorporated with conventional open loop sensorless drive, the proposed observer gives good performance on the speed control like closed loop sensorless drive. Furthermore, the proposed drive system shows robust feature concerned with parameter variation from set-values without direct parameter...
This paper presents application of adaptive neuro-fuzzy inference system (ANFIS) into a squirrel cage induction machine towards modeling, control and estimation. This paper contributes (i) Development of a simple and more realistic model of the induction motor using ANFIS. Using ANFIS, the parameter sets of the motor model are estimated. The simplified model contains eleven estimated parameters. In...
Matrix converter is an ac/ac converter without a dc link. It acts much the same way as a cycloconverter, but with better harmonic profile, large range of output frequency and controllable input displacement factor. A synchronous motor is used in many industrial applications such as cement kilns, mine winders, etc. Although synchronous motors are mostly used for high power applications, the matrix...
This paper propose an adaptive sliding mode observer(SMO) which adds an estimation function for the stator resistance to the conventional sliding mode observer. It is proposed for the robust sensorless control of permanent magnet synchronous motor(PMSM) with variable parameters. The low-pass filter and additional position compensation of the rotor are used to reduce the chattering problem commonly...
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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