Batch reactor control using a multiple model‐based controller design
- 1 August 1998
- journal article
- research article
- Published by Wiley in The Canadian Journal of Chemical Engineering
- Vol. 76 (4) , 806-815
- https://doi.org/10.1002/cjce.5450760417
Abstract
This work presents the development of a model‐based controller design called Multiple Model Predictive Control (MMPC) based on a set of linear, time‐varying, state space models to regulate batch processes according to multiple, pre‐specified reference profiles. Sufficient conditions for stability and boundedness of the dynamic evolution of the forced nonlinear system are provided. The performance of the MMPC design is demonstrated on a model of a batch reactor that represents the production of a polymer product.Keywords
This publication has 16 references indexed in Scilit:
- Adaptive control using multiple modelsIEEE Transactions on Automatic Control, 1997
- Improved Process Understanding Using Multiway Principal Component AnalysisIndustrial & Engineering Chemistry Research, 1996
- Adaptation and learning using multiple models, switching, and tuningIEEE Control Systems, 1995
- Extended Kalman Filter Based Nonlinear Model Predictive ControlIndustrial & Engineering Chemistry Research, 1994
- State-space interpretation of model predictive controlAutomatica, 1994
- Receding horizon control of nonlinear systemsIEEE Transactions on Automatic Control, 1990
- Temperature control of exothermic batch reactors using generic model controlIndustrial & Engineering Chemistry Research, 1989
- A state space formulation for model predictive controlAIChE Journal, 1989
- Combined feedforward-feedback servo control scheme for an exothermic batch reactorIndustrial & Engineering Chemistry Process Design and Development, 1984
- Nonlinear Systems AnalysisJournal of Dynamic Systems, Measurement, and Control, 1978