Research Article
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Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient

Year 2018, Volume: 7 Issue: 3, 44 - 53, 15.12.2018
https://izlik.org/JA54ML69UT

Abstract

In recent years, fractional calculus has been used frequently in the
field of control engineering. One of the main reasons for this is that it
models a real world more successfully. However, there are some disadvantages.
First, it has complex and tedious mathematical calculations. Second, it does
not has general analytical solutions.
Namely, computing time responses of fractional
order systems is still a big problem. Therefore, integer order approximation
methods and some numerical methods are used for computation of impulse and step
responses. Furthermore, computation accuracy and
computation duration of time responses by using Matlab is also important
because the computation duration may be too long for some systems such as
systems with large time delay and large inertia. In this paper, computation
duration and accuracy of time responses is investigated by testing different
numerical approximation method for fractional order control systems with large
time coefficient.

References

  • Atherton, D. P., Tan, N., Yüce, A. 2014. Methods for computing the time response of fractional-order systems. IET Control Theory & Applications, 9(6), 817-830.
  • Chen, Y., Petras, I., Xue, D. 2009. Fractional order control-a tutorial. Paper presented at the American Control Conference, 2009. ACC'09., 1397-1411.
  • Das, S. 2007. Functional Fractional Calculus for System Identification and Controls: Springer Publishing Company, Incorporated.
  • Diethelm, K. 2010. The analysis of fractional differential equations: An application-oriented exposition using differential operators of Caputo type: Springer Science & Business Media.
  • Fei, D., Yongjie, Z. 2014. Research on a new feedforward controller of main steam temperature system. Paper presented at the Information and Automation (ICIA), 2014 IEEE International Conference on, 295-300.
  • Ibrahim, D. 2002. Microcontroller-based temperature monitoring and control: Elsevier.
  • Monje, C. A., Chen, Y., Vinagre, B. M., Xue, D., Feliu-Batlle, V. 2010. Fractional-order systems and controls: fundamentals and applications: Springer Science & Business Media.
  • Nonnenmacher, T., Glöckle, W. 1991. A fractional model for mechanical stress relaxation. Philosophical magazine letters, 64(2), 89-93.
  • Podlubny, I. 1998. Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications (Vol. 198): Elsevier.
  • Weilbeer, M. 2005. Efficient numerical methods for fractional differential equations and their analytical background: Papierflieger.
  • Xue, D., Chen, Y., Atherton, D. 2009. Linear feedback control: analysis and design with MATLAB. Society for Industrial and Applied Mathematics.
  • Yüce, A., Tan, N. 2017. Examining of Numerical Methods in Time Response Analysis of Fractional Order Systems with Long Settling Time Paper presented at the International Symposium on Mathematical Methods in Engineering (MME2017) (Abstract Book), Ankara.

Year 2018, Volume: 7 Issue: 3, 44 - 53, 15.12.2018
https://izlik.org/JA54ML69UT

Abstract

References

  • Atherton, D. P., Tan, N., Yüce, A. 2014. Methods for computing the time response of fractional-order systems. IET Control Theory & Applications, 9(6), 817-830.
  • Chen, Y., Petras, I., Xue, D. 2009. Fractional order control-a tutorial. Paper presented at the American Control Conference, 2009. ACC'09., 1397-1411.
  • Das, S. 2007. Functional Fractional Calculus for System Identification and Controls: Springer Publishing Company, Incorporated.
  • Diethelm, K. 2010. The analysis of fractional differential equations: An application-oriented exposition using differential operators of Caputo type: Springer Science & Business Media.
  • Fei, D., Yongjie, Z. 2014. Research on a new feedforward controller of main steam temperature system. Paper presented at the Information and Automation (ICIA), 2014 IEEE International Conference on, 295-300.
  • Ibrahim, D. 2002. Microcontroller-based temperature monitoring and control: Elsevier.
  • Monje, C. A., Chen, Y., Vinagre, B. M., Xue, D., Feliu-Batlle, V. 2010. Fractional-order systems and controls: fundamentals and applications: Springer Science & Business Media.
  • Nonnenmacher, T., Glöckle, W. 1991. A fractional model for mechanical stress relaxation. Philosophical magazine letters, 64(2), 89-93.
  • Podlubny, I. 1998. Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications (Vol. 198): Elsevier.
  • Weilbeer, M. 2005. Efficient numerical methods for fractional differential equations and their analytical background: Papierflieger.
  • Xue, D., Chen, Y., Atherton, D. 2009. Linear feedback control: analysis and design with MATLAB. Society for Industrial and Applied Mathematics.
  • Yüce, A., Tan, N. 2017. Examining of Numerical Methods in Time Response Analysis of Fractional Order Systems with Long Settling Time Paper presented at the International Symposium on Mathematical Methods in Engineering (MME2017) (Abstract Book), Ankara.
There are 12 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Ali Yuce This is me

Tufan Doğruer

Nusret Tan

Publication Date December 15, 2018
IZ https://izlik.org/JA54ML69UT
Published in Issue Year 2018 Volume: 7 Issue: 3

Cite

APA Yuce, A., Doğruer, T., & Tan, N. (2018). Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient. Journal of New Results in Science, 7(3), 44-53. https://izlik.org/JA54ML69UT
AMA 1.Yuce A, Doğruer T, Tan N. Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient. JNRS. 2018;7(3):44-53. https://izlik.org/JA54ML69UT
Chicago Yuce, Ali, Tufan Doğruer, and Nusret Tan. 2018. “Analysis of Numerical Methods in Fractional Order Control Systems With Time Delay and Large Time Coefficient”. Journal of New Results in Science 7 (3): 44-53. https://izlik.org/JA54ML69UT.
EndNote Yuce A, Doğruer T, Tan N (December 1, 2018) Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient. Journal of New Results in Science 7 3 44–53.
IEEE [1]A. Yuce, T. Doğruer, and N. Tan, “Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient”, JNRS, vol. 7, no. 3, pp. 44–53, Dec. 2018, [Online]. Available: https://izlik.org/JA54ML69UT
ISNAD Yuce, Ali - Doğruer, Tufan - Tan, Nusret. “Analysis of Numerical Methods in Fractional Order Control Systems With Time Delay and Large Time Coefficient”. Journal of New Results in Science 7/3 (December 1, 2018): 44-53. https://izlik.org/JA54ML69UT.
JAMA 1.Yuce A, Doğruer T, Tan N. Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient. JNRS. 2018;7:44–53.
MLA Yuce, Ali, et al. “Analysis of Numerical Methods in Fractional Order Control Systems With Time Delay and Large Time Coefficient”. Journal of New Results in Science, vol. 7, no. 3, Dec. 2018, pp. 44-53, https://izlik.org/JA54ML69UT.
Vancouver 1.Yuce A, Doğruer T, Tan N. Analysis of Numerical Methods in Fractional Order Control Systems with Time Delay and Large Time Coefficient. JNRS [Internet]. 2018 Dec. 1;7(3):44-53. Available from: https://izlik.org/JA54ML69UT

 

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