z-logo
open-access-imgOpen Access
Implementation of Autotuning in Interacting Tanks to Emulate a Bioreactor
Author(s) -
Charles Nippert,
Sorelle Veigne,
Steven L. Voelker,
Charles Owens
Publication year - 2012
Publication title -
international journal of online and biomedical engineering (ijoe)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 8
ISSN - 2626-8493
DOI - 10.3991/ijoe.v8i3.2160
Subject(s) - pid controller , relay , control theory (sociology) , process (computing) , set (abstract data type) , controller (irrigation) , dead time , scheme (mathematics) , control engineering , process control , computer science , control system , engineering , control (management) , temperature control , artificial intelligence , mathematics , biology , operating system , statistics , power (physics) , programming language , electrical engineering , quantum mechanics , physics , mathematical analysis , agronomy
The set of two interacting tanks in the Chemical Engineering Lab is a prototype process that can be used to test novel and interesting control schemes. For this project a process that can be represented as a form of an either first order plus dead time (FOPDT) or a second order plus dead time (SOPDT) is tuned using a self-tuning algorithm, with Deadtime added to the control scheme to allow the simulation of a bioreactor. The algorithm uses an intelligent form of a PID controller that determines the tuning settings; thereby eliminating the need for the manually setting of the classical PID controller settings. Because there are a myriad of tuning algorithms, we followed the suggestion of Luyben (1) to provide 3 user selectable tuning settings that the user could choose from “on the fly”. These PI settings are calculated using three distinct methods; Ziegler Nichols (ZN), Tyreus Luyben (TL) and IMC methods. The auto-tuning algorithm and deadtime loop were designed, and the PLC and relay feedback tests were conducted to validate that the set up worked properly. An auto-tuning relay feedback algorithm implemented and system parameters values calculated. The algorithm was successfully able to maintain control during upsets

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom