Abstract
Position control in electrical drives is a challenging problem which is complicated by sensor noise and unknown disturbances. This paper proposes a new cascade sensorless speed control technique for induction motor drives suitable for electric vehicle applications using the full-order adaptive Luenberger observer that is insensitive to measurement noise and parametric variation. The adaptive speed law is obtained by the Lyapunov method using the estimated currents and fluxes. This technique ensures the stability of the induction motor considered as nonlinear dynamic system. Since the Luenberger observer works on deterministic environment, and it is most effective when sensor noise is limited, the present study aims to design a robust observer insensitive to measurement noise and parametric variation integrated in a cascade structure. The observer allows the filtering of the measured currents. To highlight the advantages of the new scheme, a comparative study and spectrum analysis will be presented. The proposed structure is verified using MATLAB/Simulink.
Highlights
Motor drive technology is a very complex and multidisciplinary field, and it has gone through a dynamic evolution over the last several decades by way of many inventions in power electronics, electrical machines, and advanced control and simulation techniques
Authors of [7] combined MRAS and sliding mode for indirect vector control to improve the dynamic performance of the speed estimation, while authors of [8] designed a hybrid observer based on current sliding mode for low speed and flux linkage sliding mode for high speed and optimized using Adaptive Neural Fuzzy Interference System (ANFIS) and fuzzy PID. is system has advantages of robustness, and noise reduction is possible through the minimization of torque ripple and high precision of speed. e extended Kalman filter is tested in [9] under noisy current measurement for direct vector control
Authors of [14] propose a dead-time compensation method for a vector-controlled induction motor. is method includes the effect of dead time, turn-on/off time of switching devices, and voltage drops of switching devices and freewheeling diodes
Summary
Motor drive technology is a very complex and multidisciplinary field, and it has gone through a dynamic evolution over the last several decades by way of many inventions in power electronics (semiconductor devices, converters, and PWM techniques), electrical machines, and advanced control and simulation techniques. Vector (or field-oriented) control offers good satisfactory performance in terms of both steady-state and transient response It allows separated control in a DC motor, which has drawbacks caused by the brushes [1, 2]. Authors of [7] combined MRAS and sliding mode for indirect vector control to improve the dynamic performance of the speed estimation, while authors of [8] designed a hybrid observer based on current sliding mode for low speed and flux linkage sliding mode for high speed and optimized using Adaptive Neural Fuzzy Interference System (ANFIS) and fuzzy PID. The vector control is based on imitating the DC motor behavior, which allows the separated control of the flux and the torque by adjusting, respectively, the direct and quadrature component of the stator current. The vector control allows the calculation of stator voltages, which are
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