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

作者：Estakhrouiyeh Mohsen Rezaei^*; Vali Mohammadali; Gharaveisi Aliakbar

来源：IET Control Theory and Applications, 2016, 10(12): 1374-1383.

DOI：10.1049/iet-cta.2015.1268

• bioreactors
• iterative learning control
• batch processing (industrial)
• nonlinear control systems
• robust control
• three-term control
• biocontrol
• control system synthesis
• fractional order iterative learning controller design
• FOILC
• nonlinear fractional order bioreactor system
• batch bioreactor
• fed-batch systems
• horticulture
• medical plants
• tissue engineering
• waste water recycling
• biomass production
• fractional dynamics
• robust fractional order PID
• FOPID
• product quality

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.

• 出版日期2016-8-8