Recent Trends on Process Control and Monitoring (I & II)
Sponsored by ADAPTEX Co., LTD.
Wednesday September 11, 10:40-11:25, M401
Keynote Speech: Integrated Set-Point Learning for Iterative Learning Control
Speaker: Professor Arun K. Tangirala
Department of Chemical Engineering, IIT Madras, India
Iterative Learning Control (ILC) has risen to prominence in applications where a control operation is performed repeatedly. ILC capitalizes on the repetitive nature of the operation and aims at closely tracking the user defined set-point by exploiting information from preceding trials. This information is then used to update the control input for the upcoming one. However, in systems that employ ILC, the set-point value required to achieve the desired output is not always known. In this paper we propose Integrated Set-Point Learning on top of a Linear Quadratic Direct ILC(LQ-ILC) to determine the optimal set-point profile. This is done by iteratively updating the set-point profile using gradient based algorithms upon completion of an entire control sequence. The approach is demonstrated on two systems taken from different engineering domains. In the first example of the Constant Velocity Differential Drive Robot (CVDDR) the method optimizes the robot’s set-point trajectory iteratively whilst also improving tracking over the course of runs. In the second example the method is implemented on the Cott-Batch Reactor (CBR) to achieve user desired end product quality. The inter run stability of the system is investigated numerically and simulation results obtained demonstrate the efficacy of the method.
Dr. Arun K. Tangirala is a Professor at the Department of Chemical Engineering, IIT Madras. His research interests span the fields of process control and monitoring, system identification, data sciences and renewable energy systems. His research group has been actively involved in solving cutting edge and multi-disciplinary problems of causality analysis, network reconstruction, control loop performance monitoring, multiscale identification, sparse optimization (compressive sensing)-based identification, systems biology and modern applications of data science that includes national and international collaborations. He obtained his BE degree from IIT Madras in 1996 and his PhD degree from University of Alberta, Canada in 2001. He joined the Department of Chemical Engineering, IIT Madras in Dec. 2004. He is a recipient of prestigious teaching & research awards and international fellowships. He has recently authored a comprehensive classroom text on data-driven modelling, titled “Principles of System Identification: Theory and Practice”, published by CRC Press.
Revitalize Industry through Model Based Development
Sponsored by HIROJIREN (Hiroshima Council for the Promotion of Collaboration between Government, Academia and the Automobile Industry)
Thursday September 12, 10:20-11:05, M401
Keynote Speech: New System Design Approach to Realize New Society by Integrating Multi-Discipline
Speaker: Professor Seiko Shirasaka
Graduate School of System Design and Management, Keio University, Japan
The difficulty of system development has been increasing in recent years. In this position paper, we propose a system design approach based on system thinking as one of the solutions, and specifically show the design of non-technical systems, the design of social and industrial systems, and the design of thinking processes as an example.
Dr.Seiko Shirasaka earned a Master’s degree in Astronautics from University of Tokyo and Doctoral degree in Systems Engineering from KEIO university. He worked for Mitsubishi Electric Corporation as a space systems engineer for 15 years. One of the projects which he worked for is HTV, H-II transfer vehicle, from ground to the international space station. His final position in HTV project was a technical lead in Mitsubishi Electric Corporation. He had been an Associate Professor at Graduate School of System Design and Management at KEIO university since 2008 and he has been a Professor since 2017. His main research topics are System development methodology especially systems architecture. He was a program manager on ImPACT (Impulsing Paradigm Change through Disruptive Technologies Program) lead by Cabinet Office of Japan from 2015 through 2019, and developed Small Synthetic Aperture Radar(SAR) Satellite System for On-Demand Observation.
SICE-ECTI Organized Session on Advances on Control Engineering and Applications (I & II)
Sponsored by KOBELCO Construction Machinery Co., Ltd.
Friday September 13, 10:35-11:20, M401
Keynote Speech: Minimal Modelling Characterization of Agricultural Mobile Robot Body Vibration
Speaker: Dr. Sungwan Boksuwan* and Dr. Napasool Wongvanich**
*Department of Mechatronics Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand
**Department of Instrumentation and Control Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand
This paper presents the application of integral based method for characterization of the vibration in the four-wheel agricultural mobile robot, which is designed for use in applications such as spraying and harvesting. Vibration occurs when one of the wheels does not touch the ground, thereby reducing the effect of the end effector. A second order differential equation with constant time delay is assumed, whereby an integral based identification method is applied on the model. This formulation turns a nonlinear optimization problem into a simple linear least square problem which can be implemented on-the-fly. Results show that the proposed method can simplify the system identification procedure, while yielding an excellent NRMSE match of 99.1%.
Sungwan Boksuwan received his M.Eng. Degree in Electrical Engineering from Chulalongkorn University, Thailand in 2005, and his Ph.D. In Mechanical and Intelligent Systems from the University of Electro-Communications, Japan in 2015. He is currently a Senior Lecturer in Mechatronics Engineering at King Mongkut’s Institute of Technology Ladkrabang (KMITL) in Thailand. His main research interests are in
Autonomous agricultural and aquacultural systems.
Napasool Wongvanich received his B.Eng. (Hons. I) in Electrical and Electronics Engineering from the University of Canterbury in 2008. He then received his Ph.D., also in Electrical and Electronics Engineering, in 2016. He is currently a Senior Lecturer in Instrumentation and Control Engineering at King Mongkut’s Institute of Technology Ladkrabang (KMITL) in Thailand. His research interests include system identification and control for industrial, biomedical, and autonomous applications, with special focus on agricultural systems.