STAFF PROFILE
Professor Liuping Wang
Position:
Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399252100
Email:
liuping.wang@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Research interests
- Model Predictive Control
- System Identification
- Robust Control
- Auto-tuning of PI controllers
- Control of AC motors
- Use of subspace methods in identification and model predictive control.
- Systems and Control applications to biomedical research
- Product quality control for food processes
- Soft sensor design for product quality monitoring
- Professor in Control Theory and its applications.
- Head of Discipline, Electrical Energy and Control Systems.
- Teaching of Advanced Control Systems (EEET 2100).
- Teaching of Real Time Estimation and Control (EEET 2221).
- PhD (Sheffield, UK, 1989)
Employment history
- April 2005 –current, Head of Discipline, Electrical Energy and Control Systems, RMIT University
- Jan 2007- current, Professor, School of Electrical and Computer Engineering, RMIT University
- Jan 2003-December 2006, Associate Professor, School of Electrical and Computer Engineering, RMIT University
- Feb 2002-Dec 2002, Senior Lecturer, School of Electrical and Computer Engineering, RMIT University
- Feb 1998-Jan 2002, Senior Lecturer and Research Coordinator, Centre for Integrated Dynamics and Control, University of Newcastle
- Jan 1995-Jan 1998, Adjunct Associate Professor, Dept Chemical Engineering, Uni of Toronto, Canada.
- April 1992-Dec 1994, Research Associate, Dept Chemical Engineering, Uni of Toronto, Canada.
Industry collaboration
- ANCA
- Australian Power Academy
- Advanced Manufacturing CRC
- McNabb, L.,Wang, L. (2023). An Improved Horizon-1 Finite-Control-Set Model-Predictive Current Control Design for an Induction Machine With Integrated Anti-Windup In: IEEE Transactions on Control Systems Technology, 31, 985 - 988
- Gan, L.,Wang, L.,Huang, F. (2023). Adaptive Backlash Compensation for CNC Machining Applications In: Machines, 11, 1 - 14
- Sattar, A.,Wang, L.,Ansari, S.,Hoshu, A.,Khan, S. (2023). Disturbance rejection enhancement using predictive control for the fixed-wing UAV with multiple ailerons In: International Journal of Adaptive Control and Signal Processing, 37, 1072 - 1101
- Fei, H.,Liu, B.,Wang, L.,Fan, L. (2023). Optimal estimation of injection rate for high-pressure common rail system using the extended Kalman filter In: Measurement: Journal of the International Measurement Confederation, 220, 1 - 11
- Hoshu, A.,Wang, L.,Fisher, A.,Sattar, A. (2022). Cascade control for heterogeneous multirotor UAS In: International Journal of Intelligent Unmanned Systems, 10, 363 - 384
- Hoshu, A.,Wang, L.,Sattar, A.,Fisher, A. (2022). Auto-Tuning of Attitude Control System for Heterogeneous Multirotor UAS In: Remote Sensing, 14, 1 - 24
- Tran, L.,Radcliffe, P.,Wang, L. (2022). Predicting the effects of task jitter in digital control systems In: Australian Journal of Electrical and Electronics Engineering, 19, 253 - 260
- Sattar, A.,Wang, L.,Hoshu, A.,Ansari, S.,Karar, H.,Mohamed, A. (2022). Automatic Tuning and Turbulence Mitigation for Fixed-Wing UAV with Segmented Control Surfaces In: Drones, 6, 1 - 25
- Wang, L.,Freeman, C.,Rogers, E.,Young, P. (2022). Disturbance Observer-Based Repetitive Control System With Nonminimal State-Space Realization and Experimental Evaluation In: IEEE Transactions on Control Systems Technology, 31, 961 - 968
- Hoshu, A.,Wang, L.,Ansari, S.,Sattar, A.,Bilal, M. (2022). System Identification of Heterogeneous Multirotor Unmanned Aerial Vehicle In: Drones, 6, 1 - 22
Note: Supervision projects since 2004
27 PhD Completions and 10 Masters by Research Completions6 PhD Current Supervisions
Control systems including kalman filters; PID control; process optimisation system identification; robust control; model predictive control. statistical process monitoring of industrial processes; product quality control with applications to food processes.
- High-speed permanent magnet rotor post assembly magnetization and power conversion systems manufacture (G-TET). Funded by: Innovative Manufacturing CRC from (2021 to 2022)
- Donald and Tarnagulla Microgrid Feasibility Study – Area Hosting Capacity Assessment (administered by C4NET). Funded by: Regional and Remote Communities Reliability Fund - Microgrids: Competitive from (2020 to 2023)
- Power Rectification, Braking and Condition Monitoring for a High Speed Alternator System - ICG000701. Funded by: Mellin Pty Ltd trading as gTET from (2018 to 2019)
- A novel direct drive linear tube generator for ocean wave energy conversion. Funded by: 010-ARC Discovery Projects 2017 from (2017 to 2022)
- Design and Simulation of High Speed Turbo Alternator for Micro Turbine Power Generation. Funded by: MELLIN Pty Ltd trading as Green Thermal Energy Technologies and gTET - contract research from (2017 to 2020)