Model Reference Adaptive Control Based Sensorless Speed Control of Induction Motor
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Date
2017-01
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Addis Ababa University
Abstract
In this thesis, stator current based model reference adaptive system (MRAS) speed estimator is used for closed loop speed control of induction motor without mechanical speed sensor.
Due to high sensitivity of motor parameters variation at low speed including zero, stability analysis of MRAS design is done to correct any mismatch parameters value in the MRAS is done to estimate the motor speed at these value. As result the induction motor sensorless
control can operate over a wide range including zero speed. The performance of stator current based MRAS speed estimator was analyzed in terms of speed tracking capability, torque response quickness, low speed behavior, step response of drive with speed reversal, sensitivity to motor parameter uncertainty, and speed tracking ability in regenerative mode. The system gives good performance at no load and loaded condition. Hence, it can work with different load torque conditions and with parameters variation.Stator current based MRAS estimator sensorless speed control technique can make the hardware simple and improve the reliability of the motor without introducing feedback sensor and it becomes more important in the modern AC induction motor. The sensorless vector control operation has been verified by simulation on Matlab and experimentally using Texas Instruments HVMTRPFCKIT with TMS320 F28035 DSP piccolo control card and 0.18kw AC induction motor. From the experimental work the actual speed of the motor with maximum steady state error of 0.00458pu has been achieved.
Keywords: Induction motor, Vector control, Stator current based MRAS, Sensorless, Piccolo™ TMS320F28035 Control Card
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Keywords
Induction motor;Vector control; Stator current based MRAS;Sensorless; Piccolo™ TMS320F28035 Control Card