Brushless Direct Current Propulsion System Identification

This work reports Parameter estimation of Propulsion System driven by Brushless Direct Current (BLDC) motor used in multirotor unmanned vehicles, parameters was obtained by experimental process. In order to obtaining the parameters in mathematical model given response to different excitation inputs, the analysis method for system identification that is used is the reaction curve. To establish the structure and parameters that mathematically describe the motor, the motor is stimulated with a step signal, the response to this signal is observed. Response in speed was observed graphically and from the experimental analysis the parameters that define his transitory response were determined then is used numerical approximations using optimization tools as objective function linear regression using least square method through objective function in Python programing language. Finally, the model found was replicated by computer simulation and compared, the relevant parameters were adjusted and validated by comparison between the experimental results and what was theoretically stated.