Analysis And Dsp Implementation Of Sensorless Speed Control Of Induction Motor Using Model Reference Adaptive Controller And Luenberger Observer

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In this thesis, a model reference adaptive system (MRAS) and Luenberger observer (LO) basedrnspeed estimator is designed to control the speed of induction motor with no mechanical speedrnsensor. The proposed method involves two models, reference and adaptive model for the estimationrnof rotor fluxes and speed. The identified rotor fluxes from the Luenberger observer systemrn(reference system) are used for the identification of rotor angular speed in the adaptive model.rnInduction motor is highly sensitive to motor parameter variation at low and zero speed. Tornovercome this parameter mismatch stability analysis is carried out. So that feasible range ofrnoperation is well known.rnModel reference adaptive system (MRAS) and Luenberger observer (LO) based sensorlessrnspeed estimator was analyzed in terms of different reference input tracking capability, torquernresponse quickness, low speed behavior, response of drive with speed reversal, sensitivityrnto motor parameter variation. The system gives good performance at low speed and bothrnat no load and loaded condition. From the simulation results, the rotor speed is estimatedrnwith a steady state error of 0.4% and good transient response with rise time of 0.023 secondrnand settling time of 0.05 second. Rotor flux is estimated with 0.024 second rise time, 0.2%rnsteady state error and settling time of 0.05 second. Stator flux is estimated with 0.02 secondrnrise time, 2% second steady state error, settling time of 0.03 second and 17% of maximum overshoot.rnThe proposed sensorless vector control operation is verified by simulation on MATLAB/Simulinkrnand closed loop demonstration using Texas Instruments HVMTRPFCKIT with TMS320 F28035rnDSP piccolo control card on 180w induction motor. From the demonstration work the rotor speedrnof the motor with maximum steady state error of 0.1800537% has been achieved under no loadrncondition.

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Analysis And Dsp Implementation Of Sensorless Speed Control Of Induction Motor Using Model Reference Adaptive Controller And Luenberger Observer

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