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An Integer-Order Transfer Function Estimation Algorithm for Fractional-Order PID Controllers

An Integer-Order Transfer Function Estimation Algorithm for Fractional-Order PID Controllers

Kishore Bingi, Rosdiazli Ibrahim, Mohd Noh Karsiti, Sabo Miya Hassan, Vivekananda Rajah Harindran
Copyright: © 2020 |Volume: 11 |Issue: 3 |Pages: 18
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799802860|DOI: 10.4018/IJAMC.2020070108
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MLA

Bingi, Kishore, et al. "An Integer-Order Transfer Function Estimation Algorithm for Fractional-Order PID Controllers." IJAMC vol.11, no.3 2020: pp.133-150. http://doi.org/10.4018/IJAMC.2020070108

APA

Bingi, K., Ibrahim, R., Karsiti, M. N., Hassan, S. M., & Harindran, V. R. (2020). An Integer-Order Transfer Function Estimation Algorithm for Fractional-Order PID Controllers. International Journal of Applied Metaheuristic Computing (IJAMC), 11(3), 133-150. http://doi.org/10.4018/IJAMC.2020070108

Chicago

Bingi, Kishore, et al. "An Integer-Order Transfer Function Estimation Algorithm for Fractional-Order PID Controllers," International Journal of Applied Metaheuristic Computing (IJAMC) 11, no.3: 133-150. http://doi.org/10.4018/IJAMC.2020070108

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Abstract

Fractional-order systems and controllers have been extensively used in many control applications to achieve robust modeling and controlling performance. To implement these systems, curve fitting based integer-order transfer function estimation techniques namely Oustaloup and Matsuda are most widely used. However, these methods are failed to achieve the best approximation due to the limitation of the desired frequency range. Thus, this article presents a simple curve fitting based integer-order transfer function estimation method for fractional-order differentiator/integrator using frequency response. The advantage of this technique is that it is simple and can fit the entire desired frequency range. Using the approach, an approximation table for fractional-order differentiator has also been obtained which can be used directly to obtain the approximation of fractional-order systems. A simulation study on fractional systems shows that the proposed approach produced better parameter approximation for the desired frequency as compared to Oustaloup, refined Oustaloup and Matsuda techniques.

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