Professor Jie Bao

Professor Jie Bao

Fields of research: Process Control and Simulation, Automation and Control Engineering, Membrane and Separation Technologies, Calculus of Variations, Systems Theory and Control Theory
Campus: Kensington
Tags: Basic Metal Products (incl. Smelting, Rolling, Drawing and Extruding), Manufacturing, Preparation of Black Coal

Professor Jie Bao is a Process Control expert, particularly in dissipativity/passivity based process control. He leads the Process Control Research Group, School of Chemical Engineering. He has been awarded more than $3.5 million competitive research grants including 8 Australian Research Council Discovery Projects/Large Grants, one CSIRO National Flagship Research Cluster project and one Australian Coal Research Association Program project. His research interests include dissipativity...

Professor Jie Bao is a Process Control expert, particularly in dissipativity/passivity based process control. He leads the Process Control Research Group, School of Chemical Engineering. He has been awarded more than $3.5 million competitive research grants including 8 Australian Research Council Discovery Projects/Large Grants, one CSIRO National Flagship Research Cluster project and one Australian Coal Research Association Program project. His research interests include dissipativity theory based process control, networked and distributed control systems, decentralized control and control applications in membrane separation, flow batteries, coal preparation and Aluminium smelting. He  published extensively in major process control and chemical engineering journals. He is an Associate Editor of Journal of Process Control (an International Federation of Automatic Control affiliated journal).


My Expertise

Process control, decentralised control, robust control, control applications.

Location

Room 909, Chemical Sciences Building

Contact

+61 2 9385 6755
+61 2 9385 5966

Research Activities

An Integrated Approach to Distributed Fault Diagnosis and Fault-tolerant Control for Plantwide Processes

An Integrated Approach to Distributed Fault Diagnosis and Fault-tolerant Control for Plantwide Processes

ARC Discovery Projects DP160101810
2016-2018

Chief Investigator: Prof. Jie Bao

Control of Distributed Energy Storage System using Vanadium Batteries

Control of Distributed Energy Storage System using Vanadium Batteries

ARC Discovery Projects DP150103100
2015-2017

Chief Investigators: Prof. Jie Bao, Prof. Maria Skyllas-Kazacos, and Prof. Vassilios G Agelidis

Dissipativity based Distributed Model Predictive Control for Complex Industrial Processes

Dissipativity based Distributed Model Predictive Control for Complex Industrial Processes

ARC Discovery Projects DP130103330
2013-2015

Chief Investigator: Prof. Jie Bao
Partner Investigator: Dr. Jinfeng Liu (University of Alberta, Canada)

Anode current distribution monitoring and analysis

Anode current distribution monitoring and analysis

Industrial Research Project: Dubai Aluminium Company
2013-2015

Chief Investigators: Prof. Jie Bao, Prof. Barry J. Welch and Prof. Maria Skyllas-Kazacos

Feedback destabilizing control of electro-osmotic flow for reducing fouling and enhancing productivity of membrane systems

Project

Feedback destabilizing control of electro-osmotic flow for reducing fouling and enhancing productivity of membrane systems

Fouling reduces throughput and productivity of membrane systems and as such increases operating costs and reduces profitability of water treatment industries. This work aims to reduce fouling by reducing the amount of solute at a membrane surface by destabilizing flow control. The significance lies in linking feedback control of electro-osmotic effects with spacer design to maximize flow instabilities. This project will advance modelling of flow in membrane channels and develop a novel feedback flow control strategy that enhances mixing.

Plantwide Control of Modern Chemical Processes from a Network Perspective

Project

Plantwide Control of Modern Chemical Processes from a Network Perspective

To achieve high economical efficiency, modern chemical plants are becoming increasingly complex, to an extent that cannot be effectively managed by existing process modelling and control techniques. By exploring the physical fundamentals in thermodynamics and their connections to control theory, this project aims to develop a new modelling and control approach that can be applied to complicated nonlinear processes. In this approach, processes over the entire plant are analysed and controlled from a network perspective using the dissipativity control theory.

Advanced Dynamic Control for Paste Thickeners – First stage for control of complete CHPP’s

Advanced Dynamic Control for Paste Thickeners – First stage for control of complete CHPP’s

Australian Coal Association Research Program (ACARP) Project C21055

UNSW Project Leader:  Prof Jie Bao
GBL Process Project Leader:  Dr Götz Bickert