Alexander Timofeevich Zaremba

Real-Time Rotor and Stator Resistances Estimation of an Induction Motor

Abstract In this paper, four schemes for the real-time identification of induction motor parameters are presented. The first and second schemes are for separate identification of the rotor and stator resistances while the third scheme performs simultaneous identification of these two parameters. The signals used in the identification procedure are the measured stator current, voltage command and rotor speed. The fourth scheme for the rotor resistance identification require neither measuring nor estimating of the rotor speed. All schemes are based on the MRAS identification approach and require persistent excitation conditions to be satisfied.

Vehicle System Modeling for Computer-Aided Chassis Control Development

As the complexity of automotive chassis control systems increases with the introduction of technologies such as yaw and roll stability systems, processes for model-based development of chassis control systems becomes an essential part of ensuring overall vehicle safety, quality, and reliability. To facilitate such a model-based development process, a vehicle modeling framework intended for chassis control development has been created. This paper presents a design methodology centered on this modeling framework which has been applied to real world driving events and has demonstrated its capability to capture vehicle dynamic behavior for chassis control development applications.