Dynamic optimisation of semi-continuous bioprocesses aims at finding the optimal control of process conditions (such us feed rate, temperature, pH, etc.) through time. These processes can be generally modelled by sets of non-linear differential and algebraic equations (DAEs). Prior to optimisation, understanding insights of modelling general bioprocesses is essential. The impact of the substrate and product inhibitions, as well as the degradation of bio-substance due to metabolism inside the living cells, results in highly nonlinear models where both the control and state variables are narrowly constrained. The consequence of this problem is challenging in terms of two issues: the construction of the unknown controls through time and the development of an algorithm for dynamic optimization for the constrained model.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:493951 |
| Date | January 2009 |
| Creators | Lin, Ta-Chen |
| Publisher | University of Manchester |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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