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DC motor control predictive models

Singh, Ravinesh and Onwubolu, Godfrey C. and Singh, Krishnileshwar P. and Ram, R. (2006) DC motor control predictive models. American Journal of Applied Sciences, 3 (11). pp. 2096-2102. ISSN 1546-9239

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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.

Item Type: Journal Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Technology and Environment (FSTE)
Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User: Ms Neha Harakh
Date Deposited: 15 Mar 2006 03:27
Last Modified: 18 Jul 2012 05:10

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