Adaptive extremum seeking control of continuous stirred‐tank bioreactors
Authors:
- 1 January 2003
- journal article
- process systems-engineering
- Published by Wiley in AIChE Journal
- Vol. 49 (1) , 113-123
Abstract
An adaptive extremum‐seeking control scheme for continuous stirred‐tank bioreactors is proposed which utilizes the structure information of the kinetics of bioreactors to construct a seeking algorithm that drives the system states to the desired setpoints that optimize the value of an objective function. Lyapunov's stability theorem is used in the design of the extremum‐seeking controller stucture and the development of the parameter learning laws. Numerical simulations illustrate the effectiveness of this approach.Keywords
This publication has 14 references indexed in Scilit:
- Plantwide control: the search for the self-optimizing control structureJournal of Process Control, 2000
- Performance improvement and limitations in extremum seeking controlSystems & Control Letters, 2000
- Stability of extremum seeking feedback for general nonlinear dynamic systemsAutomatica, 2000
- Optimizing bioreactors by extremum seekingInternational Journal of Adaptive Control and Signal Processing, 1999
- ABS control using optimum search via sliding modesIEEE Transactions on Control Systems Technology, 1995
- Stable adaptive control of a class of first-order nonlinearly parameterized plantsIEEE Transactions on Automatic Control, 1995
- Adaptive extremum control using approximate process modelsAIChE Journal, 1989
- Procedures for parameter and state estimation of microbial growth process modelsAutomatica, 1982
- Studies in the synthesis of control structures for chemical processes: Part I: Formulation of the problem. Process decomposition and the classification of the control tasks. Analysis of the optimizing control structuresAIChE Journal, 1980
- State and parameter estimation of microbial growth processesAutomatica, 1978