Nadgledanje statorskih i rotorskih pogrešaka asinkronog motora napajanog inverterom koristeći estimatore stanja

The paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor conditions are analyzed using estimated rotor and stator-winding resistance. Mathematical models of the extended state estimators are presented, in which the stator and rotor resistances are added as additional electromagnetic state variables. Experimental results for the inverter-fed induction motor, with shorted stator-turns and broken rotor bars, are presented and analysed.Ovaj radi proučava primjenu algoritama proširenog Kalmanovog filtra i proširenog Luenbergerovog observera za detekciju pogreške statora i rotora asinkronog motora napajanog PWM inverterom. Stanja asinkronog motora analizirana su korištenjem estimiranog otpora statorskih i rotorskih namota. Prikazani su matematički modeli proširenih estimatora stanja u kojima su otpori statora i rotora dodani kao dodatne varijable stanja. Prikazani su i analizirani eksperimentalni rezultati za asinkroni motor napajan inverterom s kratko spojenim statorskim namotima i prekinutim rotoskim polugama

Several speed sensorless methods of induction motor control

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