Application of fractional order iterative learning controller for a type of batch bioreactor

Mohsen Rezaei Estakhrouiyeh; Mohammadali Vali; Aliakbar Gharaveisi

Application of fractional order iterative learning controller for a type of batch bioreactor

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Author(s): Mohsen Rezaei Estakhrouiyeh ¹ ; Mohammadali Vali ¹ ; Aliakbar Gharaveisi ²
- Affiliations: 1: Department of Applied Mathematics, Shahid Bahonar University of Kerman, Kerman, Iran ;
  2: Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Source: Volume 10, Issue 12, 08 August 2016, p. 1374 – 1383
DOI: 10.1049/iet-cta.2015.1268 , Print ISSN 1751-8644, Online ISSN 1751-8652

Received 16/12/2015, Accepted 24/03/2016, Revised 21/03/2016, Published 08/08/2016

In this study, a fractional order iterative learning controller (FOILC) is designed for a non-linear fractional order bioreactor system. Bioreactors are widely used in horticulture, medical plants, tissue engineering, waste water recycling, biomass production and many other applications. Since fed-batch systems are repetitive processes and some specific types have fractional dynamics, FOILC algorithm is workable for them. This research shows, via simulations, the benefits of using FOILC along with a robust fractional order PID (FOPID) to attain both robustness and precision tracking for the bio-reactor system. This leads to better product quality and more flexibility, since the system can learn the new dynamics after a few iterations, in case of plant changes, besides getting better disturbance rejection against repetitive and non-repetitive disturbances.

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Application of fractional order iterative learning controller for a type of batch bioreactor

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