Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP190102478]Researchers: A/Prof Lorenzo Ntogramatzidis (Chief Investigator) , Qun Lin (Chief Investigator) , Ryan Loxton (Chief Investigator)
Brief description Real-time global optimisation for distributed parameter control systems. This project aims to develop real-time optimal control algorithms for distributed parameter systems involving both time and spatial variables and multiple time-delays, with a focus on mining and energy applications. Current optimal control algorithms for such systems are too slow for real-time use and often get trapped at local optima, which can be vastly inferior to the global solution. This project will result in a new optimal control framework, underpinned by recent advances in constraint propagation, switching surface optimisation, and input regularisation. It will result in cutting-edge mathematical tools to complement and exploit new technologies and optimise key processes in natural gas liquefaction and zinc and alumina production, increasing efficiency and reducing the ecological footprint. This project will lead to new cutting-edge control algorithms for replacing the inefficient manual operations endemic in Australia’s natural gas and mineral processing plants.
Funding Amount $380,000
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP190102478
- ARC : DP190102478