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Linear and non‐linear adaptive control of alcoholic fermentation process: Experimental results
Author(s) -
Dahhou B.,
Roux G.,
Cheruy A.
Publication year - 1993
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480070304
Subject(s) - control theory (sociology) , adaptive control , overshoot (microwave communication) , controller (irrigation) , process (computing) , linear system , linear model , control engineering , computer science , model predictive control , process control , control (management) , engineering , mathematics , artificial intelligence , machine learning , telecommunications , mathematical analysis , agronomy , biology , operating system
This paper deals with the experimental implementation of several control algorithms on a continuous flow fermentation process. The regulation and tracking problems of the substrate concentration are considered. Our objective is to show the advantages and drawbacks of these algorithms in tracking and regulation behaviour, overshoot, knowledge contribution, number of tuning parameters, etc. The different controllers described in this paper are the PI controller, the non‐linear adaptive L/A algorithm, the linear adaptive controller (predictive control with partial state reference model) and the adaptive controller based on the non‐linear structure of the process model (pole placement control). These controllers are applied to a pilot‐scale fermentation system with satisfactory results.