Dynamic performance of sensorless induction motor drives with two control systems based on multiscalar models

Abstract

Application of the speed observer to two types of non-linear control systems of the induction motor is considered in the paper. The control systems are based on multiscalar models of the induction motor. Properties of the control systems are considered in dependence on two types of the multiscalar models ofthe induction motor pointed out in the paper. Simulations and experiments have confirmed the effectiveness of the proposed scheme.

Speed sensorless nonlinear control of induction motor in the field weakening region

“…This is essential for the practical realization of control systems because it significantly simplifies the drive system. Sign^denotes variables estimated in the speed observer presented in [3,4].…”

“…A speed observer for estimation of rotor speed of the induction motor was proposed in [11] and developed by the first author in [4]. The speed observer consists of linear dynamical part stabilized by non-linear feedbacks and non-linear expression for calculation of the estimated rotor speed.…”

“…It has been introduced a novel model of induction motor, which was named multiscalar model based (MMB). Such model was used later by many other authors [3,4]. The resulted model consists of two completely decoupled subsystems -mechanical and electromagnetic.…”

Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive

“…The most successful control schemes use reference frames aligned with one of the machine fluxes (Field Oriented Control, FOC) or determines the inverter switching states directly from information on flux and torque (Direct Torque Control, DTC) [1], [2]. So called multiscalar models were proposed to achieve independent control of speed and flux without introducing rotating reference frame [3], [4]. Usually, PI regulators are used as a flux, torque and speed/position (or multiscalar variables) controllers.…”