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Data-Driven Model-Free Adaptive Current Control of a Wound Rotor Synchronous Machine Drive System

Saeid Aghaei Hashjin, Shengzhao Pang, El-Hadj Miliani, Karim Ait-Abderrahim, Babak Nahid‐Mobarakeh

2020IEEE Transactions on Transportation Electrification48 citationsDOI

Abstract

The lack of precise mathematical model of nonlinear systems, such as electric machines, brings certain limits to design a powerful controller for such systems. This article presents a model-free-adaptive-control (MFAC) scheme as a good alternative to the commonly used model-based-control (MBC) methods in order to improve the controller design limitations due to the need for system model information. In this regard, an MFAC is developed in this article for current control of a wound rotor synchronous machine (WRSM) drive system and compared with a proportional-integral (PI) controller as a well-known model-based controller. Since the controller performance can be affected by unexpected phenomena, such as model errors, parameter variations, and changes in operating point, beforehand, the robustness of developed MFAC is first tested under the mentioned conditions in the simulation area. Then, through experimental validation on a specifically designed test bench, a satisfactory performance was obtained for the MFAC scheme.

Topics & Concepts

Control theory (sociology)Robustness (evolution)PID controllerControl engineeringAdaptive controlNonlinear systemController (irrigation)Computer scienceEngineeringTemperature controlControl (management)Artificial intelligenceGeneChemistryBiologyPhysicsQuantum mechanicsBiochemistryAgronomySensorless Control of Electric MotorsIterative Learning Control SystemsElectric Motor Design and Analysis
Data-Driven Model-Free Adaptive Current Control of a Wound Rotor Synchronous Machine Drive System | Litcius