Advances in Differential Equations and Control Processes
Volume 17, Issue 4, Pages 335 - 350
(November 2016) http://dx.doi.org/10.17654/DE017040335 |
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CONTROL OF PMSM VIA AN ADAPTIVE INPUT-OUTPUT FEEDBACK LINEARIZATION WITH DECOUPLING AND ROBUST CONTROLLER
Olivier Asseu, Etienne Soro, Pamela Yoboué, Pierre Tety and Ambroise Diby
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Abstract: The numerical control of a permanent magnet synchronous motor (PMSM) proves to be difficult and constitutes a problem much studied in the field of the embarked systems and automation. Indeed, the modeling of this type of machine is a nonlinear and complex multivariable system where some parameters (the statorique resistance, the inductance …) vary with the temperature. To solve this problem, the solutions aiming to improve the PMSM knowledge model or to adapt it in the course of drive operation in order to reinforce the control performance by using of robust controllers, were approached and studied in this work. Simulation results carried out on a PMSM drive system clearly show and confirm that the proposed robust nonlinear feedback control via controllers can be used to decouple and track the currents (or speed) reference signals successfully under measurement noises and parameter uncertainties or variations. |
Keywords and phrases: PMSM model, Lyapunov theory, nonlinear feedback control, robust control, Matlab/Simulink. |
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