Open AccessNonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation
Author(s) -
Abderrahmen Kirad,
Said Grouni,
Omar Mechali
Publication year - 2018
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v3i3.69
Subject(s) - control theory (sociology) , backstepping , extended kalman filter , nonlinear system , rotor (electric) , computer science , torque , matlab , control engineering , position (finance) , engineering , kalman filter , control (management) , adaptive control , physics , mechanical engineering , finance , quantum mechanics , artificial intelligence , economics , thermodynamics , operating system
This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.