Step Respons Motor DC by Using Compression Signal Method

Authors

  • Satrio Dewanto Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v6i3.2249

Keywords:

DC motor, signal compression, step response

Abstract

Output signal in the form of a step response of a DC motor can be obtained by providing the input signal to the motor in the form of a signal step directly. Step response obtained in this way usually contains a lot of noise. To reduce noise, this research was designed with the aim to get the step response using signal compression method in which the input signal is not a step but a signal with a specific shape given to the motor and if the output signal of the motor is compressed, it will obtain impulse response. Step response of the DC
motor can be obtained by doing the integral to the impulse response. Step response which is obtained using signal compression method will be used to estimate parameters model of DC motor to see the validity of this method. The result of this research shows that the estimated value of the parameters from the step response has value closer to the value of the parameters given to the model of a DC motor. The conclusion of this research is the method of signal compression can be used to obtain the step response of a DC motor model. Further research will be conducted on the actual motor instead of using a mathematical model.

Dimensions

Plum Analytics

References

Aoshima, N. (1984). Measurement of Nonlinear Vibration by Signal Compression Method. Proc. of the Acoustical Society of America, 76(3): 794-801.

Bature, A. A., Muhammad, M., Abdullahi, A. M. (2013). Identification and Real Time Control of a DC Motor. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 7(4): 54-58.

Hadef, M., Mekideche, M. R. (2009). Parameter Identification of a Separately Excited DC Motor via Inverse Problem Methodology. Turkey Journal of Electrical Engineering & Computer Sciences, 17: 99-106.

Liem, D. T., Ahn, K. K. (2012). DC Motor Parameters Identification and Sensorless Torque Estimation Using Fuzzy PID. 12th International Conference on Control, Automation and Systems (ICCAS 2012). Jeju Island, South Korea, 76-81.

Wu, W. (2012). DC Motor Parameter Identification Using Speed Step Responses. Modeling and Simulation in Engineering. 2012.

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Published

2015-09-01

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