Keynote Speeches
Keynote Speech I
CPS Driven Control System
China has abundance of mineral resources such as magnesite, hematite and bauxite,
which constitute a key component of its economy.
The relatively low grade, and the widely varying and complex compositions of the raw extracts, however, pose
difficult processing challenges including specialized equipment with excessive energy demands.
The energy intensive furnaces together with widely uncertain features of the extracts form hybrid complexities
of the system, where the existing modeling, optimization and control methods have met only limited success.
Currently, the mineral processing plants generally employ manual control and are known to impose greater demands
on the energy, while yielding unreasonable waste and poor operational efficiency.
The recently developed Cyber-Physical System (CPS) provides a new key for us to address these challenges.
The idea is to make the control system of energy intensive equipment into a CPS, which will lead to a CPS driven
control system.
This talk presents the syntheses and implementation of a CPS driven control system for energy-intensive
equipment under the framework of CPS. The proposed CPS driven control system consists of four main functions:
(I) setpoint control; (II) tracking control; (III) self-optimized tuning; and (IV) remote and mobile monitoring
for operating condition. The key in realizing the above functions is the integrated optimal operational control
methods to implement setpoint control, tracking control and self-optimized tuning together seamlessly.
This talk introduces the integrated optimal operational control methods we proposed.
Hardware and software platform of CPS driven control system for energy-intensive equipment is then briefly
introduced, which adopts embedded control system, wireless network and industrial cloud. It not only realizes
the functions of computer control system using DCS (PLS), optimization computer and computer for abnormal
condition identification and self-optimized tuning, but also achieves the functions of mobile and remote
monitoring for industrial process.
Then, using fused magnesium furnace as an example, a hybrid simulation system for CPS driven control system for
energy-intensive equipment developed by our team is introduced. The results of simulation experiments show the
effectiveness of the proposed method that integrates the setpoint control, tracking control, self-optimized
tuning
and remote and mobile monitoring for operating condition in the framework of CPS.
The industrial application of the proposed CPS driven control system is also discussed. It has been successfully
applied to the largest magnesia production enterprise in China, resulting in great returns. Finally, future
research
on the CPS driven control system is outlined.
Biosketch
Tianyou Chai
received the Ph.D. degree in control theory and engineering in 1985 from Northeastern University,
Shenyang, China, where he became a Professor in 1988. He is the founder and Director of the Center of
Automation, which became a National Engineering and Technology Research Center and a State Key Laboratory. He is
a member of Chinese Academy of Engineering, IFAC Fellow and IEEE Fellow. He has served as director of Department
of Information Science of National Natural Science Foundation of China from 2010 to 2018.
His current research interests include modeling, control, optimization and integrated automation of complex
industrial processes.
He has published 260 peer reviewed international journal papers. His paper titled Hybrid intelligent control for
optimal operation of shaft furnace roasting process was selected as one of three best papers for the Control
Engineering Practice Paper Prize for 2011-2013. He has developed control technologies with applications to
various industrial processes. For his contributions, he has won 5 prestigious awards of National Natural
Science, National Science and Technology Progress and National Technological Innovation, the 2007 Industry Award
for Excellence in Transitional Control Research from IEEE Multiple-conference on Systems and Control, and the
2017 Wook Hyun Kwon Education Award from Asian Control Association.