Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller

Abstract

The continues operation of vector controlled induction motor drives faces the problem of the stator and rotor resistance variation due to saturation, skin effect or in temperature variations. These resistance variations affect the controller performance. This paper illustrates about a new closed loop approach for estimation followed by compensation of the stator and rotor resistance of induction motor by using the second order sliding mode controller. The motor resistances estimated by online and the error between the actual and desired state variables of the induction motor track the sliding surface, the proposed method are based on the rigorous Lyapunov stability criteria. The simulation results show that the high frequency variation in the output waveform reduces as compared to the classical sliding mode controller and the mathematical analysis is simple to reduce the complexity faces in the higher order controller. For the estimation of the control variables of proposed algorithm only current measurement is needed and the controller is independent of the unknown parameter variation as the property of the sliding mode controller. The proposed method has been analyzed and verified with the help of Matlab/Simulink.

Online Rotor and Stator Resistance Estimation Based on Artificial Neural Network Applied in Sensorless Induction Motor Drive

“…Model Reference Adaptive System (MRAS) [9][10][11], • Extended Kalman Filters [12][13][14]; • Sliding Mode Control [15,16]; • Fuzzy Logic Technique [17,18].…”

Online Stator and Rotor Resistance Estimation Scheme Using Sliding Mode Observer for Indirect Vector Controlled Speed Sensorless Induction Motor

“…In recent years sensorless induction motor drives have been widely used. But sensorless speed FOC induction motor drive are sensitive to the motor parameter variations, especially to the stator and rotor resistances that change with temperature and skin effects, [5,6]. It is clear that when this parameters varies, decoupling between the flux and torque components of stator currents is lost and hence the operational performance of the machine deteriorates.…”

A robust-adaptive linearizing control method for sensorless high precision control of induction motor

“…Besides the load changing from low to high, inductances are likely to saturate at high flux levels and resistances are inclined to increase as a result of temperature which is particularly effective for the stator resistance and frequency, showing itself mostly on the rotor resistances as skin effect. The parameter uncertainties which are dealt by some studies 9–11 are as follows: addressing and modeling magnetic saturation effects, 12,13 taking an adaptive approach for the compensation of the rotor resistance and external load, 14,15 developing an adaptive nonlinear feedback for torque control, 16 estimating and compensating the saturation effect, 17 proposing a robust dynamic I-O linearization scheme for rotor resistance variations, 18 developing an adaptive method against rotor resistance/load variations, and, finally, 19 developing a parallel model reference adaptive scheme (MRAS) to compensate for the variations of the rotor and stator resistances. Since the overall performance of the VC depends on the uncertainties of unpredictable parameter variations of the system, external load disturbances, unmodeled and nonlinear plant dynamics, all the above-mentioned methods require flux observers, the performance of which also depends on how well the system parameters are accessible.…”