Algorithm for adaptive sensorless control of synchronous motors

Parameter Identification of Permanent-magnet Synchronous Motors for Sensorless Control

An online parameter identification method is proposed for sensorless control for surface and interior permanent-magnet synchronous motors (SPMSMs and IPMSMs, respectively). As this method does not use rotor position or velocity to identify motor parameters, the identified parameters are not affected by position estimation error under sensorless control. The proposed method that is based on syst...

Sensorless V/f Control of Permanent Magnet Synchronous Motors

Daniel Montesinos-Miracle1, P. D. Chandana Perera2, Samuel Galceran-Arellano1 and Frede Blaabjerg3 1Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments, Departament d'Enginyeria Elèctrica, Universitat Politècnica de Catalunya 2Department of Electrical and Information Engineering, Faculty of Engineering, University of Ruhuna 3Institute of Energy Technology, Aalborg University ...

Sensorless Vector Control of Pm Synchronous Motors Using Adaptive State Observers with Disturbance Torque Estimation

In this paper, a novel sensorless nonlinear speed control for a permanent magnet synchronous motor (PMSM) driving an unknown load torque is developed and integrated with the vector control scheme. An extended nonlinear state observer with parameter adaptive scheme is used to estimate the states of the motor and disturbance torque avoiding the use of mechanical sensors. The parameter identified ...

An Adaptive Variable Structure Control Law for Sensorless Induction Motors

Tuning of Extended Kalman Filter using Self-adaptive Differential Evolution Algorithm for Sensorless Permanent Magnet Synchronous Motor Drive

In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...