Guoming Zhu

Guoming Zhu

Guoming Zhu

Professor

Biography

Increasing concerns about global climate change and ever increasing demands on fossil fuel capacity call for improved fuel economy of automotive engines with reduced emissions. With many biofuel and hydrogen applications on the near horizon, the next generation of automotive engines will be required to operate with multiple fuels and combustion modes. The engine combustion process will have to be optimized to maximize combustion efficiency with improved emissions under different fuel blends and combustion modes. To meet this challenge, advanced engine control will be needed to automatically adapt to the fuel blend and combustion mode.

 The research conducted at Guoming (George) Zhu’s automotive control lab uses model-based control techniques to accurately control engine fuel injection timing and mass, charge mixture temperature and composition, and to control the valvetrain and other engine subsystems. Control-oriented engine models are being developed and implemented in the lab in a hardware-in-the-loop (HIL) simulation environment to support model-based control development and validation. After HIL validation, the developed controllers will be used and validated in engine dynamometer tests.

Dr. Zhu is also conducting research in areas of integrated identification and control of automotive systems, optimal control of hybrid powertrain systems, combustion mode transition control, and development of linear parameter-varying gain-scheduling control scheme with application to aerospace vibration control problems. Active control of the automotive engine and its subsystems is an essential foundation needed to make new engine technologies possible. Research at MSU ranges from new control concept development to validation and demonstration.

Research Area
Education
Ph.D., Aerospace Engineering, Purdue University 1992
M.S., in Controls, Electrical Engineering, Beijing University of Aeronautics and Astronautics, PRC 1984
B.S., Mechanical Engineering, Beijing University of Aeronautics and Astronautics, PRC 1982
Publications
A. Pal*, L. Zhu, Y. Wang, and G. Zhu, “Multi-objective surrogate-assisted stochastic optimization with application to engine calibration,” ASME Journal of Dynamic Systems, Measurement, and Control (Accepted on March, 2021, DOI: 10.1115/1.4050970).
W. Wei*, H. Dourra, and G. Zhu, “Deadbeat back-stepping adaptive estimation of automobile transfer case clutch touchpoint,” IEEE Transaction on Control System Technology (Accepted in February 2, 2021, DOI: 10.1109/TCST.2021.3058330)
A. Pal*, L. Zhu, Y. Wang, and G. Zhu, “Constrained surrogate-based engine calibration using lower confidence bound,” IEEE/ASME Transaction on Mechatronics (Accepted on January, 2021, DOI: 10.1109/TMECH.2021.3053246).
T. He*, G. Zhu, and S. S-M Swei, “A Novel Sequential Design of Switching H_∞ LPV State-Feedback Control,” International Journal of Control, Automation, and System, (Accepted on December, 2020).
W. Wei*, H. Dourra, and G. Zhu, “Transfer case clutch torque modeling and validation under slip and overtaken conditions,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 143, July, 2021, pp. 071003 (DOI: 10.1115/1.4049543).
J. Tang*, G. Zhu, and Y. Men*, “An Overview of control-oriented combustion model of internal combustion engines,” International Journal of engine research (Accepted in November, 2020, DOI: 10.1177/1468087421992955)
Y. Yue, Y. Huang, D. Hao*, and G. Zhu, “Adaptive LQT Control for Suppressing Vehicle Longitudinal Vibration Utilizing Tire-Road Interaction Characteristics,” Proc. IMechE, Part D: J. Automobile Engineering (Accepted in October, 2020, DOI: 10.1177/0954407020973971).
D. Hu*, G. Li, G. Zhu, Z. Liu, and M. Tu, “LQT control of a commercial vehicle air brake system,” IEEE Access, Vol. 8, August 2020, pp. 149741-149750 (DOI: 10.1109/ACCESS.2020.3016353).
D. Hu*, G. Li, G. Zhu, Z. Liu, and Y. Wang, “A control-oriented LPV model of a commercial vehicle air brake system,” Applied Science, 10(13), 2020, pp. 4589 (DOI: 10.3390/app10134589).
Y. Wang*, G. Zhu, and R. Mukherjee, “Experimental study of NMP sample and hold input using an inverted pendulum," International Journal of System and Control, 9(1), February, 2021, pp. 109-120 (DOI: 10.1007/s40435-020-00643-w).
White, G. Zhu, and J. Choi, "Hardware-in-the-loop simulation of robust gain-scheduling control of port-fuel-injection process," IEEE Transaction on Control System Technology, (2010, DOI: 10.1109/TCST.2010.2095420).
J. Ma, G. Zhu, and H. Schock, "Adaptive control of a pneumatic valve actuator for an internal combustion engine," IEEE Transaction on Control System Technology, (2010, DOI: 10.1109/TCST.2010.2054091).
Z. Ren and G. Zhu, "Integrated System Identification and Control design for an IC engine variable valve timing system," ASME Journal of DSMC (2011, DOI: 10.1115/1.4003263).
Primary Department