Research Article Open Access

DC Motor Control Predictive Models

Ravinesh Singh1, Godfrey C. Onwubolu1, Krishnileshwar Singh1 and Ritnesh Ram1
  • 1 ,
American Journal of Applied Sciences
Volume 3 No. 11, 2006, 2096-2102

DOI: https://doi.org/10.3844/ajassp.2006.2096.2102

Submitted On: 19 December 2005 Published On: 30 November 2006

How to Cite: Singh, R., Onwubolu, G. C., Singh, K. & Ram, R. (2006). DC Motor Control Predictive Models. American Journal of Applied Sciences, 3(11), 2096-2102. https://doi.org/10.3844/ajassp.2006.2096.2102

Abstract

DC motor speed and position controls are fundamental in vehicles in general and robotics in particular. This study presents a mathematical model for correlating the interactions of some DC motor control parameters such as duty cycle, terminal voltage, frequency and load on some responses such as output current, voltage and speed by means of response surface methodology. For this exercise, a five-level full factorial design was chosen for experimentation using a peripheral interface controller (PIC)-based universal pulse width modulation (PWM) H-Bridge motor controller built in-house. The significance of the mathematical model developed was ascertained using regression analysis method. The results obtained show that the mathematical models are useful not only for predicting optimum DC motor parameters for achieving the desired quality but for speed and position optimization. Using the optimal combination of these parameters is useful in minimizing the power consumption and realization of the optimal speed and invariably position control of DC motor operations.

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Keywords

  • Response surface methodology (RSM)
  • DC motor control
  • pulse width modulation (PWM)
  • peripheral interface controller (PIC)