Real Time Speed Control of a DC Motor Based on its Integer and Non-Integer Models Using PWM Signal
This paper exploits the advantage of non-integer order modeling of a process over integer order, in those cases where the process model is required for control purpose. The present case deals with speed control of a DC motor. Based on the real time open loop response, DC motor is being modeled as integer and non-integer order first order plus delay system. Both these models are then separately used for determining two sets of Proportional-Integral-Derivative (PID) controller parameters through Ziegler Nichols (ZN) closed loop tuning method. In addition to this, a model based control technique i.e. Internal Model Control (IMC) is also implemented using both integer and non-integer model respectively. For carrying out the real time speed control of DC motor, LabVIEW platform has been used. After going through the results, it is observed that the controller performance considerably improves, if non-integer order model is used for controller design rather than integer order model.
A. S. Elwakil, “Fractional order circuits and systems magazine: An Emerging interdisciplinary research area”, IEEE Circuits and Systems, Vol. 10, No. 4, pp. 40-50, 2010
M. O. Efe, “Fractional order systems in industrial automation – A Survey”, IEEE Transaction of Industrial Informatics, Vol. 7, No. 4, pp. 582-591, 2011
S. Kumar, “A new fractional modelling arising in engineering sciences and its analytical approximate solution”, Alexandria Engineering Journal, Vol. 52, No. 4, pp. 813-819, 2013
C. A. Monje, Y. Chen, B. M. Vinagre, D. Xue, V. Feliu, Fractional order systems and controls: Fundamental and applications, Springer-Verlag, London, 2010
“DC Motor Speed: System Modeling”, http://ctms.engin.umich.edu/C
A. Vishwesh, P. S. V. Natraj, “Fractional order modeling of neutron transport in a nuclear reactor”, Applied Mathematical Modelling, Vol. 37, No. 23, pp. 9747-9767, 2013
T. Djamah, R. Mansouri, S. Dfennounce, M. Bettayeb, “Optimal low order model identification of fractional dynamic systems”, Applied Mathematics and Computation, Vol. 206, No. 2, pp. 543-554, 2008
M. Lankarany, A. Rezazade, “Parameter Estimation Optimization Based on Genetic Algorithm Applied to DC Motor”, 2007 International Conference on Electrical Engineering, Lahore, pp. 1-6, April 11-12, 2007
S. Udomsuk, K. L. Areerak, K. N. Areerak, A. Srikaew, “Parameters identification of separately excited DC motor using adaptive tabu search technique”, International Conference on Advances in Energy Engineering, Beijing, pp. 48-51, June 19-20, 2010
J. H. Holland, Adaption in Natural & Artificial Systems. Cambridge MA: MIT Press, 1975
D. E. Goldberg, Genetic Algorithms in search Optimization and Machine Learning. Boston, MA: Addison-Wesley, 1989
A. Tepljakov, E. Pettenkov, J. Belikov, “FOMCON: a MATLAB toolbox for fractional-order system identification and control”, International Journal of Microelectronics and Computer Science, Vol. 2, No. 2, pp. 51-62, 2011
J. G. Ziegler, N. B. Nichols, “Optimum settings for automatic controllers”, Transactions of ASME, Vol. 64, pp. 759-768, 1942
G. H. Cohen, G. A. Coon, “Theoretical considerations in retarded control”, Transaction of ASME, Vol. 75, pp- 827, 1953
B. Wayne Bequette, Process Control: Modeling, Design and Simulation, 2nd Ed., Prentice Hall, 2002
D. Xue, C. Zhao, Y. Chen, “A modified approximation method of fractional order system”, International Conference on Mechatronics and Automation, Luoyang, Henan, pp. 1043-1048, June 25-28, 2006
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