scholarly journals Application of mean-variance mapping optimization for parameter identification in real-time digital simulation

2017 ◽  
Author(s):  
Abdulrasaq Gbadamosi ◽  
José L. Rueda ◽  
Da Wang ◽  
Peter Palensky
Keyword(s):  
Parameter Identification ◽  
Real Time ◽  
Digital Simulation ◽  
Mean Variance

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

Actuators ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 143
Author(s):  
Jose Jimenez-Gonzalez ◽  
Felipe Gonzalez-Montañez ◽  
Victor Manuel Jimenez-Mondragon ◽  
Jesús Ulises Liceaga-Castro ◽  
Rafael Escarela-Perez ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Real Time ◽  
Digital Simulation ◽  
Least Square ◽  
Recursive Least Squares ◽  
Rotor Speed ◽  
Recursive Least Square ◽  
Brushless Dc ◽  
Speed Controller ◽  
Two Stages

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.

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