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Dr.
Jie Bao
Associate Professor
BE ME (Zhejiang), PhD (Qld)
Postgraduate Research Coordinator
School of Chemical Engineering
The University of
New South Wales
UNSW SYDNEY NSW 2052
Australia
Telephone: +61 (2) 9385 6755
Facsimile: +61 (2) 9385 5966
Email: J.Bao@unsw.edu.au
EDUCATION:
PhD Chem Eng, University of Queensland, ME & BE Zhejiang University
EMPLOYMENT:
School of Chemical Sciences & Engineering, UNSW, Associate Professor, 2008-
School of Chemical Sciences & Engineering, UNSW, Senior Lecturer, 2003-2007
School of Chemical Sciences
& Engineering, UNSW, Lecturer, 1999-2003
University of Alberta, Edmonton,
Canada, Postdoctoral Research Fellow, 1998-1999
University of Queensland, Australia,
Part-time tutor, 1994-1997
Control & Measurement Branch, ZUSTD Corp., China, Assistant Engineer, 1993-1994
PROFESSIONAL ACTIVITIES:
Associate Editor, Journal of Process Control
Referee for scholarly journals including:
• Journal of Process Control
• IEEE transactions on Automatic Control
• IEE Proc. Control Theory & Applications
• Journal of Dynamic Systems, Measurement and Control
• Industrial & Engineering Chemistry Research
• Chemical Engineering Science
• Journal of Membrane Science
• Chemical Engineering Communications
• International Journal of System Sciences
• Canadian Journal of Chemical Engineering
• Asian-pacific Journal of Chemical Engineering
Research Interests:
Computer Process Control and Process Systems Engineering – Integration of process design and control; Fault tolerant control systems; Process control based on the Passivity Theorem; Decentralized process control; Robust control; Process control applications.
RECENT RESEARCH PROJECTS:
§ Plantwide Control of Modern Chemical
Processes from a Network Perspective (ARC Discovery Project 2010-2012)
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.
The outcomes of this project will form the cornerstones of a new process
control paradigm that offers more robust and reliable process operation at any
scale.
Supported by the Australian Research Council. In collaboration with Prof. Erik Ydstie, Carnegie Mellon University.
§ Advanced Control of Membrane
Processes (ARC Discovery Project 2011-2013)
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
membrane fouling by reducing the amount of solute at the membrane surface. This
is achieved by implementing destabilizing electro-osmotic flow control. The
significance of this project 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. The effectiveness and
operability of the new fouling reduction approach on real-world membrane
systems will be evaluated. With over $9bn worth of membrane-based
desalination plants either in operation, under construction or being planned in
Australia, the expected outcomes of this project will lead to significant
social and economical benefit and provide greater
water security.
Supported by
the Australian Research Council. In collaboration with Prof. D.E. Wiley and Dr.
Alessio Alexiadis, Washington University in St. Louis)
§ Advanced Control of Aluminium
Smelting Cells (CSIRO National Research Flagship Project, 2009-2012)
Primary production of aluminium is highly
energy intensive, with energy costs representing 22-36% of operating costs in
smelters. The Australian aluminium smelting industry consumed 29,500 GWh of electricity in 2007, 13% of final electricity
consumption in Australia. The long term sustainability of the aluminium
smelting industry depends on energy-efficient production technologies for
global competitiveness. The aim of the project is to improve auto-diagnosis of
the occurrence of the root-cause for abnormal process conditions in the
smelting cells that adversely impact energy and environmental efficiencies. The
expected outcomes include: (1) An adaptive model for the change in control
signal and control algorithms with different abnormalities and at different
operating line current levels; (2) A sequence of diagnostic sub-routines based
on processing signals at different; (3) A schemes for alarms and guidelines for
human interface interaction when needed.
Supported by CSIRO National
Research Flagships Light Metal Flagship Cluster. In collaboration
with Profs. Welch and Skyllas-Kazacos.
§ Advanced
Dynamic Control for Paste Thickeners (ACARP Project, 2012-2013)
The objective of the proposed
project is to develop an online dynamic feedback control approach to improve
the operation of paste thickeners through adopting modern control strategies
(in particular, model predictive control) already successfully applied in the
petro-chemical industry. This would be an ideal test case for applying advanced
dynamic control for complete CHPPs or other variable dynamic processes such as
flotation.
Supported by Australian Coal Association Research Program. In collaboration with Dr.
Goezt Bickert, GBL Process Pty Ltd.
§ A Behaviour Approach to Optimization
based Controller Coordination for Complex Process (UNSW Faculty Research Grant 2009)
The complexity of plantwide chemical
systems is steadily increasing, driven by the gain in economic efficiency
offered by more complex and interactive plant designs. This project aims to
develop a new framework of complex process control using coordinated
optimization-based controllers. Control systems based on online optimization
are often most suitable for complex systems and can be applied to a large
ranges of control problems. An interaction analysis approach for plantwide
complex processes and the stability conditions for coordinated controllers based
on their historical behaviour will be developed. This will lead to a new
control approach that can be applied in many modern complex engineering
applications including control of renewable energy networks.
RESEARCH GRANTS AWARDED:
More than $2 Million, including 5
ARC Discovery Projects.
|
Project |
Funding body/ Schemes |
Funding period |
|
Studies
on Failure-tolerant Decentralised Control based on the Passivity Theorem |
Australian Research Council (ARC) Small Grant |
2000 |
|
Passivity-based
Fault-tolerant Decentralized Control for Linear and Nonlinear Processes |
Australian Research Council (ARC) Discovery Projects |
2001-2003 |
|
Enhancement
of DCS-Centred Process Control Experimental Rig |
Research Infrastructure Block Grant |
2000 |
|
An
Integrated Approach to Modelling and Robust Process Control |
University Research Support Program (URSP 2002, FRG 2003) |
2002-2003 |
|
Defining
Fundamental Principles for the Design and Operation of Membrane Systems from
Time-Varying Performance Analysis
|
Australian Research Council (ARC) Discovery Projects |
2003-2005 |
|
Dynamic
Controllability Analysis for Plantwide Process Design and Control |
Australian Research Council (ARC) Discovery Projects |
2005-2007 |
|
Soft sensor development for milling processes
aided by discrete element models
|
Faculty Research Grant |
2007 |
|
Interaction
analysis and decoupling control of complex processes |
International Science Linkages: Australia-China Special Fund |
2007-2009 |
|
A
behaviour approach to optimization based controller coordination for complex process systems |
Faculty Research Grant |
2009 |
|
Breakthrough
Technology for Primary Aluminium- Advanced Control: Process Data and
Regulation Approaches
|
CSIRO National Research Flagships - Aluminium Cluster |
2009-2012 |
|
Plantwide
Control of Modern Chemical Processes from a Network Perspective |
Australian Research Council (ARC) Discovery Projects |
2010-2012 |
|
Feedback destabilising control of electro-osmotic flow for reducing fouling and enhancing productivity of membrane systems Chief investigators: Bao & Wiley; International partner investigator: Alexiadis |
Australian Research Council (ARC) Discovery Projects |
2011-2013 |
|
Advanced
Dynamic Control for Paste Thickeners Chief
investigators: Bao (UNSW) & Bickert (GBL
Process Pty Ltd
) |
Australian
Coal Association Research Program (ACARP) |
2012-2013 |
Members
of Research GROUP:
Current members:
|
Research Personnel |
Position |
Project |
|
Dr. Chris Menictas |
Research Fellow |
Advanced control of Aluminium smelters |
|
Dr. Nicolas Hudon |
Postdoctoral Research Fellow |
Plantwide Control of Modern Chemical Processes from a Network Perspective |
|
Dr. Hua Ouyang |
Postdoctoral
Research Fellow |
Feedback
Destabilising Control of Electro-osmotic Flow for Membrane Fouling Reduction |
|
Dr. Ridwan Setiawan |
Postdoctoral
Research Fellow |
Advanced
Dynamic Control for Paste Thickeners |
|
Winnie Cheung |
PhD candidate |
Modelling
and control of aluminium smelters |
|
Denny Hioe |
PhD candidate |
Analysis
of plantwide processes based on the concept of dissipative systems |
|
Yong Yeow
Liang (co-supervised) |
PhD candidate |
Modelling,
Simulation and Control of Membrane Channels |
|
Pesila
Ratnayake |
PhD candidate |
Electro-osmotic
Flow control for Membrane Fouling Reduction |
|
Ao Tang |
PhD Candidate |
Control of 2nd Generation Vanadium Batteries |
|
Michael Tippett |
PhD candidate |
Distributed control and decision making |
|
Dave Javan Tjakra |
PhD candidate |
Modelling and control of particulate systems |
PREVIOUS MEMBERS:
|
Research Personnel |
Thesis Title |
Current affiliation |
|
Dr. Frank Zhang |
Passivity
based fault tolerant control |
Honeywell Australia |
|
Dr. Steven Su |
Passivity
based fault tolerant control for nonlinear systems |
University of
Technology, Sydney |
|
Mr. Andika
Suryodipuro |
Controllability
analysis using frequency domain tools |
Institut Teknologi Bandung |
|
Dr. Richard Chan |
An integrated
approach to process modelling and control |
Industrial
Learning Systems (iLS), USA |
|
Dr. Kevin W.K. Yee |
Operability
Analysis of a Multiple-Stage Membrane Process |
New South Wales
Department of Planning |
|
Dr. Osvaldo Rojas |
Quantitative
Dynamic Controllability Analysis for Integration of Process Design and
Control |
Simulation Modelling
Services Pty Ltd |
|
Dr. Herry Santoso |
Controllability
analysis for linear and nonlinear chemical processes |
Parahyangan Catholic University |
|
Dr. Luke McElroy |
Soft-sensor
development for milling processes |
Arup Australia |
|
Dr. Shichao Xu |
Distributed Control
of Plantwide Chemical Processes: A Dissipativity Systems Approach |
Institute of Chemical
and Engineering Sciences, Agency for Science, Technology and Research
(A*STAR), Singapore |
|
Dr. Ridwan Setiawan |
Plantwide Dynamic Operability Analysis
from Network Perspective |
University of New South
Wales |
MAIN TEACHING ACTIVITIES:
CEIC3006 Process Dynamics and Control (Lecturer in Charge)
CEIC8102 Advanced Process Control (Lecturer in Charge)
CEIC3000 Chemical Engineering Fundamentals – 3: Process Modelling and Analysis (Co-lecturer, Model analysis part)
ADMINISTRATION:
Postgraduate Research Coordinator, School of
Chemical Engineering
SELECTED PUBLICATIONS
Books
§
Bao J and Lee PL (2007) Process
Control: The Passive Systems Approach. Springer-Verlag
London, ISBN: 978-1-84628-892-0.
Book Chapters
§ Bao J and Xu SC (2012) Plant-wide Process Control via a Network of Autonomous Controllers. In Plant-wide Control: Recent Developments and Applications (28 pages) Wiley (in press, ISBN: 978-1-11996-896-2)
Journal Publications
§ Santoso H, Hioe D, Bao J and Lee PL (2012) Operability
analysis of nonlinear processes based on incremental dissipativity. Journal of Process Control (in press,
doi:10.1016/j.jprocont.2011.09.006)
§ McElroy LP, Bao J, Jayasundara C, Yang RY and Yu AB
(2012) A Soft-Sensor Approach to
Impact Intensity Prediction in Stirred Mills Guided by DEM Models. Powder Technology (in press)
§ Tang A,
Ting S, Bao J and Skyllas-Kazacos M
(2012) Thermal modelling and simulation of the
all-vanadium redox flow battery. Journal of Power Sources (in press,
doi:10.1016/j.jpowsour.2011.11.079)
§ Yee KWK, Bao J
and Wiley DE (2012) Dynamic operability analysis of an industrial membrane
separation process. Chemical Engineering Science
(in press) doi:
10.1016/j.ces.2011.11.046
§ Tang A, Bao J and Skyllas-Kazacos M (2011) Dynamic modelling of the effects
of ion diffusion and side reactions on the capacity loss for vanadium redox
flow battery. Journal of Power Sources 196, 10737– 10747.
§ Setiawan R and Bao J (2012) Plantwide operability
assessment for nonlinear processes using a microscopic level network analysis. Chemical Engineering Research and Design
90, 119–128.
§ Xu SC and Bao J (2011) Plantwide Process Control with Asynchronous Sampling
and Communications. Journal of Process
Control 6,927-948.
§ Setiawan R and Bao J (2011) Analysis of Interaction
Effects on Plantwide Operability. Industrial & Engineering Chemistry
Research 50, 8585–8602.
§ Xu SC and Bao J (2010) Control of Chemical Processes via Output Feedback
Controller Networks. Industrial &
Engineering Chemistry Research 49,
7421–7445.
§ Guo CY, Zhang WD and Bao J (2010) Robust Output Feedback H∞ Control for
Networked Control Systems Based on the Occurrence Probabilities of Time Delays.
International Journal of Systems Science, iFirst 1-13. DOI:
10.1080/00207721.2010.488761
§ Rojas OJ, Setiawan R, Bao J and Lee PL (2009) Dynamic
operability analysis of nonlinear process networks based on dissipativity. AIChE J. 55(4): 963-982
§ Xu SC and Bao J
(2009) Distributed Control of Plantwide Chemical Processes. J. Process
Control 19: 1671–1687.
§ Yee KWK, Wiley DE and Bao J (2009) A
unified model of the time dependence of flux decline for the long-term
ultrafiltration of whey. J. Memb.
Sci. 332(1-2): 69-80
§ Santoso H, Bao J and Lee PL (2009) Operability
Analysis of MTBE Reactive Distillation Column using a Process Simulator. Chemical Product and Process Modelling 4 (3), article 6
§ McElroy L, Bao J, Yang RY and Yu AB (2009) Soft-sensors
for prediction of impact energy in horizontal rotating drum. Powder
Technology 195: 177–183
§ Yee KWK, Alexiadis A, Bao J and Wiley DE (2009) Effects of recycle ratios on process
dynamics and operability of a whey ultrafiltration stage. Desalination 236(1-3):
216–223.
§ McElroy L.P., Bao J.; Yang R.Y. and Yu A.B. (2009) A
Soft-Sensor Approach to Flow Regime Detection for Milling Processes. Powder
Technology 188(3): 234-241.
§ Santoso H.; Bao
J. and Lee P.L. (2009) The Steady-State Region of Attraction under Linear
Feedback Control: A Numerical Approach. J.
Process Control 19(3): 464–472.
§ Santoso H.; Bao
J. and Lee P.L. (2008) Dynamic Operability Analysis for Stable and Unstable
Linear Processes. Ind. Eng. Chem. Res. 47(14): 4765–4774.
§ Yang R.Y.; Yu
A.B.; McElroy L. and Bao J. (2008)
Numerical simulation of particle dynamics in different flow regimes in a
rotating drum. Powder Technology 188:170–177.
§ Xu S.C.; Bao J.
(2008) Interaction Analysis for Decentralized Control Based on Dissipativity. Asia-Pac. J. Chem. Eng. 3(6): 656-666.
§ Yee
K.W.K.; Alexiadis A.; Bao J. and
Wiley D.E. (2008) Effects of multiple-stage membrane process designs on the
achievable performance of automatic control. J. Memb.
Sci. 320 (1/2): 280-291.
§ Rojas O.J.; Bao J. and Lee P.L. (2008) On
Dissipativity Passivity and Dynamic Operability of Nonlinear Processes. J. Process Control 18 (5): 515–526
§ Bao J.; Chan K.H.; Zhang W.Z. and Lee P.L. (2007)
An experimental pairing method for multi-loop control
based on passivity. J. Process Control 17 (10): 787–798.
§ Chan K.H. and Bao J. (2007)
Model Predictive Control of Hammerstein Systems with Multivariable
Nonlinearities. Ind. & Eng. Chem. Res. 46 (1): 168-180.
§ Rojas O.J.; Bao J. and Lee P.L. (2007) A Dynamic Operability Analysis Approach for Nonlinear Processes. J.
Process Control 17 (2): 157–172.
§ Yee K.W.; Wiley D.E. and Bao J.
(2007) Whey protein concentrate production by continuous ultrafiltration:
Operability under constant operating conditions. J. Memb. Sci. 290(1/2): 125–137.
§ Alexiadis A.; Wiley D.E.;
Fletcher D.F. and Bao J. (2007)
Laminar Flow Transitions in a 2D Channel with Circular
Spacers. Ind. & Eng. Chem. Res. 46(16): 5387 – 5396.
§ Santoso H., Bao J. and Lee P.L. (2007) Passivity
Based Dynamic Controllability Analysis for Multi-Unit Processes. Chemical
Product and Process Modelling 2 (2): Article 7.
§ Alexiadis A.; Wiley D.E.; Vishnoi A.; Lee R.H.K.; Fletcher D.F. and Bao J. (2007) CFD modelling of reverse
osmosis membrane flow and validation with experimental results. Desalination 217: 242–250.
§ Santoso H., Rojas
OJ, Bao J and Lee PL (2007)
Nonlinear Process Operability Analysis Based on Steady-state Simulation: A Case
Study. Chemical Product and Process Modelling 2 (2): Article 6.
§ Su S.W.; Bao J. and Lee P.L.
(2006) A Hybrid Active-Passive Fault Tolerant Control Approach. Asia-Pac. J.
Chem. Eng. 1 (1-2): 54-62.
§ Rojas O.J.; Bao J. and Lee
P.L. (2006) Linear control of nonlinear processes: the
regions of steady-state attainability. Ind. & Eng. Chem. Res. 45
(
§ Chan K.H.; Bao J. and Whiten W.J. (2006)
Identification of MIMO Hammerstein Systems Using Cardinal Spline Functions. J.
Process Control 16 (7): 659–670.
§ Su S.W.; Bao J. and Lee P.L. (2006) Conditions on Input Disturbance
Suppression for Multivariable Nonlinear Systems on the Basis of Feed Forward
Passivity. International Journal of Systems Science 37 (4):
225–233.
§ Yee K.W.; Wiley D.E. and Bao J.
(2006) Steady state operability of whey ultrafiltration (UF) system. Desalination
199 (1-3): 497-498.
§ Alexiadis A.; Bao J.;
Fletcher D.F.; Wiley D.E. and Clements D.J. (2006) Dynamic response of a high
pressure reverse osmosis membrane simulation to time dependent disturbances. Desalination
191 (1-3): 397–403.
§ Su S.W.; Bao J. and Lee P.L. (2006) Decentralized Control for Multivariable
Processes with Actuator Nonlinearities. Dev. Chem. Eng. Mineral
Process. 14 (1/2): 163-172.
§ Chan K.H.; Bao J. and Whiten
W.J. (2005) A New Approach to Control of MIMO Processes with Static
Nonlinearities Using an Extended IMC Framework. Comput.
& Chem. Eng. 30 (2): 329–342.
§ Zhang W.Z.; Bao J. and Lee
P.L. (2005) Process Dynamic Controllability Analysis Based on All-Pass Factorization.
Ind. & Eng. Chem. Res. 44 (18): 7175-7188.
§ Alexiadis A.; Bao
J.; Fletcher D.F.; Wiley D.E. and Clements D.J. (2005) Analysis
of the Dynamic Response of a Reverse Osmosis Membrane to Time Dependent Transmembrane Pressure Variation. Ind. & Eng. Chem. Res. 44 (20): 7823-7834.
§ Su S.W.; Bao J. and Lee P.L. (2005) Control
of Multivariable Hammerstein Systems by Using Feedforward
Passivation. Ind. & Eng. Chem. Res. 44 (4): 891-899
§ Su S.W.; Bao J. and Lee P.L. (2004) Analysis of Decentralized Integral
Controllability for Nonlinear Systems. Comput. & Chem. Eng. 28 (9): 1781-1787.
§ Bao
J.; Zhang
W.Z. and Lee P.L. (2003) Decentralized Fault-tolerant Control System
Design for Unstable Processes. Chem. Eng. Sci. 58 (22):
5045-5054.
§ Zhang W.Z.; Bao J. and Lee P.L. (2003) Control
Structure Selection Based on Block Decentralized Integral Controllability. Ind. & Eng. Chem. Res. 42 (21): 5152-5156.
§ Bao
J.; Lee P.L.;
Wang F.Y. and Zhou W.B. (2003) Robust Process Control Based on the Passivity
Theorem. Dev. Chem. Eng. Mineral Process 11 (3/4): 287-308.
§ Bao
J.; McLellan P.J. and Forbes J.F. (2002) A Passivity-based
Analysis for Decentralized Integral Controllability. Automatica 38
(2): 243-247.
§ Zhang W.Z.; Bao J. and Lee P.L. (2002)
Decentralized Unconditional Stability Conditions Based on the Passivity Theorem
for Multi-loop Control Systems. Ind. & Eng. Chem.
Res. 41 (6): 1569-1578.
§ Bao
J.; Zhang
W.Z. and Lee P.L. (2002) Passivity-Based Decentralized Failure-Tolerant
Control. Ind. & Eng. Chem. Res. 41 (23):
5702-5715
§ Bao
J.; Lee P.L.;
Wang F.Y.; Zhou W.B. and Samyudia Y. (2000) A New Approach to Decentralized Control Using Passivity and Sector Stability
Conditions. Chem. Eng. Commun.
182: 213-237.
§ Bao
J.; Forbes J.F.
and McLellan P.J. (1999) Robust Multi-Loop PID
Controller Design - A Successive Semi-Definite Programming Approach. Ind. & Eng. Chem. Res. 38 (9): 3407-3419.
§ Bao
J.; Lee P.L.;
Wang F.Y. and Zhou W.B. (1998) New Robust Stability Criterion and Robust Controller
Synthesis. Int. J.
Robust Nonlinear Control 8 (1): 49-59.
RETURN to Chemical Sciences &
Engineering, UNSW