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In this paper, a speed sensorless vector control strategy for a double output induction generator operating in the Variable Speed Constant Frequency (VSCF) mode is presented. A new reactive power based Model Reference Adaptive System (MRAS) is proposed to estimate the slip speed. The proposed controller is capable of speed catching operation. Simulation results are presented to validate the effectiveness...
Permanent magnet synchronous motors are used in many industrial applications because they have several inherent advantages. However, information about the rotor position is necessary even to be able to control drive speed. Conventional speed and position detection uses encoder and resolver. These sensors significantly increase price, weight, and degrade reliability. Therefore many authors publish...
A new algorithm for speed observer based on Model Reference Adaptive System (MRAS) is proposed for high performance induction motor drive. It uses stator current error based MRAS speed observer. The reference model of the stator current error based MRAS is the measured stator current components and the adaptive model is neuro-fuzzy based stator current observer. The adaptive model also needs the use...
The permanent magnet synchronous motor (PMSM) is increasingly playing an important role in alternating current transmission system. Recently, lots of researches have been investigated for the PMSM system without speed and position sensors. A vector-control system of the improved MRAS for PMSM is proposed in this paper. The new Model Reference Adaptive System (MRAS) based on speed positive feedback...
A scheme of a model reference adaptive system (MRAS) based on the theory of parameter optimization for the PMSM servo system is described in this paper. The scheme can promptly work out the speed of the rotor without any other position/speed sensor. Different from the other MRAS-based speed observers which constructed according the theory of stability customarily, by using the error between the measured...
This paper presents a novel model reference adaptive system (MRAS) speed observer for induction motor drives based on stator currents. The measured currents are used as reference model for the MRAS observer to avoid the use of a pure integrator. A two layer Neural Network (NN) stator current observer is used as the adaptive model which requires the rotor flux information. This can be obtained from...
A control structure is proposed to implement a sensorless speed control driving system with induction machine. The rotor speed is estimated by a model reference adaptive system based algorithm with information from stator variables fundamentals (voltages and currents). Influence of machine parameter sensitivity and low speed estimation errors are discussed. Computer simulated results are presented...
In this paper, the effect of rotor time constant variation on the dynamic performance of rotor flux in the speed sensorless indirect Field Oriented Control (FOC) method of induction motor is considered, then a novel method for adaptation of rotor time constant based on Model Reference Adaptive System (MRAS) is presented. The computer simulations have shown the validity and the feasibility of the proposed...
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