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This paper presents a closed-loop automatic method able to identify all electrical parameters of single phases induction machines. The system is based on Robust Model Reference Adaptive Controller that is applied at qd axes machine model. The identification procedure is based on currents measurements with standstill rotor and is divided in two times: in the first time, all parameters of main winding...
The paper deals with a novel MRAS observer for the sensorless control of a Doubly Fed Induction Machine. In the proposed MRAS, an expression of the electromagnetic torque and the norm of the rotor current space vector are exploited to form the reference model. The formulation of the MRAS and the linearised model are discussed and the differences with respect to other observers are highlighted. Finally,...
This paper addresses sensorless position and torque control of induction machines around zero frequency using inherent saliencies of a skewed rotor machine. The estimation method employs transient excitation of voltage pulses to detect machine saliencies. The resulting signals from injection based sensorless control methods are composed of components caused by saturation, slotting, as well as inter-modulation...
In this paper, the design of a backstepping adaptive type-2 fuzzy controller for induction machine is addressed. The backstepping has been adopted to exploit the field oriented control scheme and to use only one control channel. Thus, the true and virtual control signals have been synthesised using two adaptive type-2 fuzzy systems to overcome the constraint on the knowledge of the machine parameters...
The inner loop current control plays a key role in the high performance sensorless induction machine control. An adaptive current control scheme for the induction machine is proposed in this report. After employing nonlinear feedforward decoupling technique the controller is constructed along with internal model principle to gain zero steady state error of the machine stator currents. The dead-zone...
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