Abstract
In the literature on sensorless control of induction motors, many algorithms have been presented for rotor flux and speed estimation. However, all these algorithms have been developed in the continuous–time domain. The digital realization of the control systems, requires the implementation of those estimation methods in a discrete–time domain. The main goal of this article is comparison of the impact of different numerical integration methods, used in analogue emulation under the digital implementation of the control systems, to the operation of classical Model Reference Adaptive System; CC-based on two current models (MRASCC) speed estimator and its three modified versions developed for the extension of the estimator stability region. In this paper the generalized mathematical model of MRASCC estimator is proposed, which takes into account all known methods for the extension of the stability region of classical speed estimator of this type. After the short discussion of the discretization methods used for the microprocessor implementation of control algorithms the impact of different numerical integration methods on the stable operation range of the classical and modified MRASCC estimators is analyzed and validated in simulation and experimental tests. It is proved that Modified Euler discretization method is much more accurate than forward and backward Euler methods and gives almost as accurate results as Tustin method, however is much less complicated in practical realization.
Highlights
Nowadays, various emerging applications of electric drives such as: transportation systems, industrial mechatronics systems just like tool spindle drives and robotic systems, pose new challenges and problems for designers
After the short discussion of the discretization methods used for the microprocessor implementation of control algorithms the impact of different numerical integration methods on the stable operation range of the classical and modified MRASCC estimators is analyzed and validated in simulation and experimental tests
This article summarizes the influence of selected numerical integration methods used in analogue emulation on the stability issues of the classical MRASCC speed estimator, based on the previous works of the authors [25,26], the special attention is paid to all modified stabilized versions of MRASCC [33,34,35,36,37] and their operation after discretization, especially in the regenerating mode
Summary
Various emerging applications of electric drives such as: transportation systems, industrial mechatronics systems just like tool spindle drives and robotic systems, pose new challenges and problems for designers. This article summarizes the influence of selected numerical integration methods used in analogue emulation on the stability issues of the classical MRASCC speed estimator, based on the previous works of the authors [25,26], the special attention is paid to all modified stabilized versions of MRASCC [33,34,35,36,37] and their operation after discretization, especially in the regenerating mode.
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