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Parameter Identification of BLDC Motor Using Electromechanical Tests and Recursive Least-Squares Algorithm: Experimental Validation

J. Jimenez-Gonzalez, Felipe González-Montañez, V. M. Jiménez-Mondragón, J. U. Liceaga-Castro, R. Escarela-Pérez, Juan C. Olivares-Galván

2021Actuators26 citationsDOIOpen Access PDF

Abstract

In this article, the parameter identification of a brushless DC motor (BLDC) is presented. The approach here presented is based on a direct identification considering a three-phase line-to-line voltage electromagnetic torque as function of the electric currents and rotor speed. The estimation is divided into two stages. First, the electrical parameters are estimated by well-known no-load and DC tests. Consequently, estimation of mechanical parameters is performed using a recursive Least Square Algorithm. The proposed approach is validated by comparing model responses to motor real time responses. Additionally, the design, digital simulation and real time implementation of a PI rotor speed controller, based on the estimated model, validate the identification proposal presented here.

Topics & Concepts

Control theory (sociology)Rotor (electric)DC motorIdentification (biology)Estimation theoryController (irrigation)AlgorithmTorqueLine (geometry)Recursive least squares filterVoltageComputer scienceSystem identificationInduction motorControl engineeringEngineeringMathematicsArtificial intelligenceData modelingPhysicsControl (management)GeometryElectrical engineeringThermodynamicsBotanyAgronomyAdaptive filterMechanical engineeringBiologyDatabaseSensorless Control of Electric MotorsElectric Motor Design and AnalysisControl Systems and Identification
Parameter Identification of BLDC Motor Using Electromechanical Tests and Recursive Least-Squares Algorithm: Experimental Validation | Litcius