Abstract
In this paper, control of a bioreactor with oscillatory and chaotic behaviors is considered. The main objective is controlling the reactor outlet concentration. In this regard, two model-based controllers, namely, adaptive generalized predictive controller (AGPC) and globally linearizing controller (GLC) are designed and their performances are compared with that of a PI controller. The results indicate that the GLC has a better performance in set point tracking, while in load rejection and handling model mismatch, the performance of AGPC is superior.
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Hoseinzadeh, L., Shahrokhi, M. (2013). Control of a Bioreactor with Chaotic and Oscillatory Behaviors. In: Stavrinides, S., Banerjee, S., Caglar, S., Ozer, M. (eds) Chaos and Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33914-1_26
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DOI: https://doi.org/10.1007/978-3-642-33914-1_26
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33913-4
Online ISBN: 978-3-642-33914-1
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