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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 proposes a novel sensorless speed tracking control scheme for the permanent magnet synchronous motors (PMSM) with uncertain parameters. An angular speed observer is designed to achieve the purpose of sensorless speed estimation, and then a speed tracking controller is developed with the adaptive backstepping technique to deal with the parameter uncertainties and load variation in the PMSM...
This paper presents a novel speed & position estimation algorithm for the PMSG based wind turbine using Adaptive Network-Based Fuzzy Inference System (ANFIS). The precise information of rotor speed and position is required to perform maximum power tracking in variable speed wind turbine, which is very difficult to estimate under varying operating conditions, as it may lead to parameter variation...
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...
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