1. Current Sensorless Control for WRSM Using Model-Free Adaptive Control
- Author
-
Adrien Corne, Karim Ait-Abderrahim, Shengzhao Pang, Saeid Aghaei Hashjin, Babak Nahid-Mobarakeh, El-Hadj Miliani, Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine (UL), ESME Sudria [Paris], Laboratoire de Génie Electrique de Grenoble (G2ELab ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), IFP Energies nouvelles (IFPEN), IFP School, and McMaster University [Hamilton, Ontario]
- Subjects
Lyapunov function ,0209 industrial biotechnology ,Adaptive control ,Mechanical sensors ,Computer science ,Control variable ,Automotive industry ,Energy Engineering and Power Technology ,Transportation ,02 engineering and technology ,Wound rotor motor ,law.invention ,Data-driven control (DDC) ,symbols.namesake ,020901 industrial engineering & automation ,Control theory ,law ,Synchronous machines ,0202 electrical engineering, electronic engineering, information engineering ,sensorless control ,Electrical and Electronic Engineering ,business.industry ,020208 electrical & electronic engineering ,model-free-adaptive control (MFAC) ,[SPI.NRJ]Engineering Sciences [physics]/Electric power ,Data models ,wound rotor synchronous machine (WRSM) ,Adaptation models ,Automotive Engineering ,symbols ,Current (fluid) ,Synchronous motor ,business - Abstract
International audience; Sensorless control theory is considered as one of the most important keys to reduce the cost of manufacturing and maintenance in automotive applications. This article presents a current sensorless control algorithm of a wound rotor synchronous machine using a model-free-adaptive control (MFAC). The only controlled variable in this method is the rotor speed, and no observation or estimation will be performed on the phase currents. The presented controller is also compared with a current sensorless control method that uses a Lyapunov-based observation of phase currents in the control algorithm. The developed control algorithm is first tested in simulation under several operating conditions, such as starting, tracking, parameter variation, and load step. Then, experimental tests validated the effective performance of MFAC in a current sensorless control algorithm. According to these results, the control of phase currents is guaranteed with a small error but without using any current sensors.
- Published
- 2021
- Full Text
- View/download PDF