[Cite as http://purl.org/au-research/grants/arc/LP140100471]
Researchers Prof Saeid Nahavandi; Prof Peng Shi; Dr Nong Gu; Mr Damien Mead
Brief description Advanced optimisation and control are considered to be one of the top technologies that help milk power producers operate their plants more efficiently. However, the successful implementations of these technologies are limited due to poor understanding of the relationship between raw material variations and process disturbances with the target variables. Moreover, uncertainties in process measurements also prevent reliable control and effective optimisation. This project aims to address these gaps by developing new optimisation and control methods based on effective model reduction and uncertainty process variable identification, which will enable Australian milk powder manufactures to continuously improve productivity and reduce cost.
Funding Amount 354992
Funding Scheme Linkage Projects