It is innovatively established, through a nonlinear Persistency of Excitation (PE) analysis, that the latest Bernard-Praly gradient adaptive observer - for nonsalient-pole surface Permanent Magnet Synchronous Motors (PMSMs) with uncertain flux of the permanent magnet (PM) - owns exponential convergence properties under well-known observability conditions. Such exponential properties can be crucially used to provide a new solution to the long-standing problem of guaranteeing position/speed tracking in sensorless PMSMs, in the presence of uncertain constant parameters such as load torque, PM flux and possibly stator resistance. (C) 2020 Elsevier Ltd. All rights reserved.
Verrelli, C., Tomei, P. (2020). New exponential convergence properties for Bernard-Praly observer and adaptive sensorless control of PMSMs. AUTOMATICA, 121, 109197 [10.1016/j.automatica.2020.109197].
New exponential convergence properties for Bernard-Praly observer and adaptive sensorless control of PMSMs
Verrelli, CM;Tomei, P
2020-01-01
Abstract
It is innovatively established, through a nonlinear Persistency of Excitation (PE) analysis, that the latest Bernard-Praly gradient adaptive observer - for nonsalient-pole surface Permanent Magnet Synchronous Motors (PMSMs) with uncertain flux of the permanent magnet (PM) - owns exponential convergence properties under well-known observability conditions. Such exponential properties can be crucially used to provide a new solution to the long-standing problem of guaranteeing position/speed tracking in sensorless PMSMs, in the presence of uncertain constant parameters such as load torque, PM flux and possibly stator resistance. (C) 2020 Elsevier Ltd. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
