Practical model-based control for next generation diesel engines

Project description

The performance of diesel engines in the automotive and maritime industries are intimately linked to the control algorithms used to determine the actuation levels and inputs. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model based techniques to meet performance and emissions specifications. However, the benefits of using advanced controllers are typically tempered by the need to spend more time and money on calibration of the algorithms as the tuning parameters are not related to time domain specifications.

With industry keen to adopt and integrate higher performing algorithms into their platforms, we have been working with researchers at Australia’s Defence Science and Technology Group (DSTG) and Japan’s Toyota Motor Corporation to develop robust yet practical optimisation-based engine controllers that are more easily calibrated.

These projects aim to develop robust multivariable model predictive control algorithms for high performing diesel engines that reduce calibration effort. The algorithms will be implemented at state-of-the-art facilities both within Australia and internationally. The anticipated outcome is new model based control architectures that improve diesel engine operation yet reduce its calibration effort and cost.

Researchers

  • Tansu Alpcan, Associate Professor, Electrical and Electronic Engineering
  • James Bailey, Professor, Computing and Information Systems
  • Michael Cantoni, Professor, Electrical and Electronic Engineering
  • Airlie Chapman, Mechanical Engineering
  • Vincent Crocher, Mechanical Engineering
  • Peter Dower, Associate Professor, Electrical and Electronic Engineering
  • Robin Evans, Professor, Electrical and Electronic Engineering
  • Farhad Farokhi, McKenzie Research Fellow, Electrical and Electronic Engineering
  • Nir Lipovetzky, Research Fellow, Computing and Information Systems
  • Jonathan Manton, Professor, Electrical and Electronic Engineering
  • Chris Manzie, Professor & MIDAS Director, Electrical and Electronic Engineering
  • Iven Mareels, Professor, Electrical and Electronic Engineering
  • Timothy Miller, Senior Lecturer (Assistant Professor) & MIDAS Deputy Director, Computing & Information Systems
  • Girish Nair, Professor, Electrical and Electronic Engineering
  • Dragan Nešić, Professor, Electrical and Electronic Engineering
  • Denny Oetomo, Associate Professor & MIDAS Deputy Director, Mechanical Engineering
  • Marimuthu Palaniswami, Professor, Electrical and Electronic Engineering
  • Adrian Pearce, Associate Professor, Computing & Information Systems
  • Ben Rubinstein, Senior Lecturer (Assistant Professor), Computing & Information Systems
  • Dongryeol Ryu, Senior Lecturer (Assistant Professor), Infrastructure Engineering
  • Len Sciacca, Enterprise Professor, Electrical and Electronic Engineering
  • Iman Shames, Senior Lecturer (Assistant Professor) & MIDAS Deputy Director, Electrical and Electronic Engineering
  • Rohan Shekhar, Research Fellow, Mechanical Engineering
  • Liz Sonenberg, Professor and Pro Vice-Chancellor (Research Collaboration), Computing & Information Systems
  • Ying Tan, Associate Professor, Electrical and Electronic Engineering
  • Erik Weyer, Professor, Electrical and Electronic Engineering
  • Stephan Winter, Professor, Infrastructure Engineering
  • Gokul Sankar, PhD Candidate, Department of Mechanical Engineering
  • Noam Olshina, PhD Candidate, Department of Mechanical Engineering

Partners

Toyota Motor Corporation (TMC), Defence Science and Technology Group, Australian Research Council

Research programs

Computational engineering for dynamic systems