Extended Kalman Filters for Estimation Problems in Industrial Applications
Prof. Dr.-Ing. Paolo Mercorelli
Institute of Product and Process Innovation,
Leuphana University of Lueneburg,Germany
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Kalman’s optimum linear filter has proved to be very popular. Nevertheless, very often it is not always possible to use a linear system in practical applications. Extended Kalman Filters (EKFs) are used in different fields of industrial applications to reduce the number of sensors and simultaneously to improve the quality of the signals available from the process. EKFs are numerical efficient structures applied through microcontrollers in real industrial applications. Therefore, EKF approach appears to be one of the most suitable ones for problem estimation. The strategic choice of an EKF approach can be justified if the deterministic part of the model can be considered “dominant” and thus in this context, a first order linearized approach, which the EKF is based on, can be taken into consideration for possible industrial applications. After a short overview on the fundamental aspects of the background of EKF, this presentation intends to show how EKFs can be applied as an estimator in different fields of applications such as, for instance, in Thermal Systems, Flexible Actuators, Electromagnetic Actuators, Lithium-Ion Battery as well as in Permanent Magnet Synchronous Motors and other systems. Each System is analyzed in accordance with its physical inside, its intrinsic challenges and dedicated EKFs are proposed to solve specific issues of the considered real application. Measured results related to each application are shown and discussed.
Brief Biography: Paolo Mercorelli received a Ph.D. degree in Systems Engineering from his Alma Mater, Studiorum University of Bologna, Bologna, Italy, in 1998. In 1997, he was a visiting researcher for one year in the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, USA. He received an award from the Marie Curie Actions research fellowship program sponsored by The European Commission in year 1998. Thanks to this scholarship, from 1998 to 2001, Paolo Mercorelli was a postdoctoral researcher with ABB (Asea Brown Boveri) Corporate Research, Heidelberg, Germany. During the Heidelberg period he introduced, for the first time in ABB, software structures based on wavelet packets for fault detection and data reconciliation and he developed industrial trading software using these wavelet packets. He was the inventor cited in three patents in which the applicant was ABB Zuerich. Moreover, these wavelet packet structures were implemented and integrated in the Inferential Modelling Platform of the Advanced Control and Simulation Solution Responsible Unit within the ABB industry division. From 2002 to 2005, he was a senior researcher with the Institute of Automation and Informatics, Wernigerode, Germany, where he was the leader of the control group. From 2005 to 2011, Paolo Mercorelli was an Associate Professor of Process Informatics with Ostfalia University of Applied Sciences, Wolfsburg, Germany. In Wolfsburg, he was involved in various projects with the Volkswagen AG Research Center developing different control systems which have been implemented in production series of vehicles as, for instance, the control algorithms for Intelligent Parking Assist System. Since 2012 he has had the position of Full Professor and Head of the Chair of Control and Drive Systems at the Institute of Product and Process Innovation, Leuphana University of Lueneburg, Lueneburg, Germany. Since 2018 he has obtained an international visiting professor fellowship at the Institute of Automatic Control of Lodz University of Technology (Poland) and he is responsible for two courses at the Master’s in “Automation and Robotics“. In Fall 2019 he was visiting Professor at the University of Miskolc (Hungary) giving lectures at the Master’s and PhD programs. His actual interests include Applications with Kalman Filters, Robotics, Wavelets, Geometric Control, Sliding Mode Control and Application with Sliding Mode Control.
Multiagent Systems: Decentralized, Distributed and Cloud-Based Control Strategies
Magdi S. Mahmoud
Systems Engineering Department, KFUPM, Saudi Arabia
An integral ingredient to the operation of industrial or engineering systems, including cooperative robotics, sensor networks, and grid computing, is its control architecture consisting of hardware and software protocols for exchanging system status and control signals. In conventional systems, this is accomplished by Supervisory Control and Data Acquisition (SCADA) systems. Current trends to control and monitor the operation of industrial or engineering systems are however moving toward the use of an automated agent technology, which is generally known as a multiagent system (MAS). A multiagent system is a combination of several agents working in collaboration pursuing assigned tasks to achieve the overall goal of the system. The MAS has become an increasingly powerful tool in developing complex systems that take advantages of agent properties and it is autonomous in that they operate without human interventions.
In this presentation, we focus control strategies pertaining to MAS. Specifically, we address three classes of strategies:
- Distributed Strategies in which the agent (local) control is equipped with additional information from neighbors (agent-to-agent communication) to achieve the global motion-coordination task.
- Decentralized Strategies in which of the agent (local) controls are independent but collaborate in harmony with the aid of a central coordinator to attain the overall cited goal.
- Cloud-based Strategies in which the autonomous agents are required to achieve a common coordination objective by exchanging data over a shared cloud registry. The registry is accessed asynchronously by different agents, and direct inter-agent communication is not possible.
Our main goal is illuminate the merits/demerits of the foregoing strategies as well as the potential application of each. In addition, we discuss several possible extensions for industrial multiagent control systems.
Magdi S. Mahmoud has been a Professor of Engineering since 1984. He is now a Distinguished Professor at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He was on the faculty at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang) and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK ((Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of fifty-one (51) books, inclusive book-chapters and the author/co-author of more than 610 peer-reviewed papers. He is a fellow of the IEE, a senior member of the IEEE, the CEI (UK), and a registered consultant engineer of information engineering and systems (Egypt). He received the Science State Incentive Prize for outstanding research in engineering, (1978, 1986), the State Medal for Science and Arts, First Class, (1978), and the State Distinction Award, (1986), Egypt. He awarded the Abdul Hameed Showman Prize for Young Arab Scientists in Engineering Sciences, (1986), Jordan. In 1992, he received the Distinguished Engineering Research Award, Kuwait University, (1992), Kuwait. He is co-winner of the Most Cited Paper Award 2009, ``Signal Processing", vol. 86, no. 1, 2006, pp. 140-152. His papers were selected among the 40 best papers in Electrical & Electronic Engineering by the Web of Science ISI in July 2012. He interviewed for ``People in Control", IEEE Control Systems Magazine, August 2010. He served as Guest Editor for the special issue ``Neural Networks and Intelligence Systems in Neurocomputing" and Guest Editor for the ``2015 International Symposium on Web of Things and Big Data (WoTBD 2015)" 18--20 October 2015, Manama, Bahrain. He is a Regional Editor (Middle East and Africa) of International Journal of Systems, Control and Communications (JSCC), INDERSCIENCE Publishers since 2007, member of the Editorial Board of the Journal of Numerical Algebra, Control and Optimization (NACO), Australia since 2010, an Associate Editor of the International Journal of Systems Dynamics Applications (IJSDA), since 2011, member of the Editorial Board of the Journal of Engineering anagement, USA since 2012 and an Academic Member of Athens Institute for Education and Research, Greece since 2015. Since 2016, He is an Editor of the Journal Mathematical Problems in Engineering, Hindawi Publishing Company, USA. He is currently actively engaged in teaching and research in the development of modern methodologies to distributed control and filtering, networked control systems, fault-tolerant systems, cyberphysical systems and information technology.
Distributed fault-tolerant environments monitoring systems for aircraft cabins
Rui Wang
Department of Electrical Engineering and Automation
College of Information Engineering and Automation
Civil Aviation University of China
Tianjin, 300300, China
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This email address is being protected from spambots. You need JavaScript enabled to view it.
Web: https://www.cauc.edu.cn/ddxy/197.html
In case unexpected environmental events happen in aircraft cabins or cargos, the flight safety and the health safety of passengers and crew members will be considerably affected since aircraft cabins, cargos and avionics compartments are located in a narrow and closed limited spaces. Disasters include cases like wires becoming aging leading to self-burning producing contaminants like CO, inhalable particles, etc. Therefore, studies on the methods of monitoring cabin environments and providing alerts timely and accurately become ultimately important. In this talk, 3D deployment of wireless sensor network in the aircraft, the environmental parameters measurement methods and models over a network system and the multi-stage hybrid data fusion decision algorithms will be presented. Some simulation verifications will also be shown and discussed. The goal of this study is to going to suggest new methods to monitor aircraft environments accurately, timely stably and reliably while decreasing the false alarm rate.
Rui Wang received the Ph.D. degree in electrical engineering from Old Dominion University, Norfolk, VA, USA in 2011, the M.S. degree in electrical engineering from Guizhou University, Guiyang, Guizhou, China in 2007 and the B.S. degree in industry automation from Tianjin University of Science and Technology, Tianjin, China in 2003, respectively. She is currently an Associate Professor in College of Information Engineering and Automation at Civil Aviation University of China, Tianjin, China.
Her current main research interests include condition monitoring, Fault-Tolerant Control Systems (FTCS) of aircraft environments and systems; dynamic systems modeling, estimation, identification, advanced control techniques for health management of safety-critical systems; nonlinear control theory its application such as chaotic systems.
She is a Member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE Aerospace and Electronic Systems Society and Control Systems. She is also an Editorial Board Member of International Journal of Modelling, Identification and Control. She also serves as the Program Chair, the International Program Chair, the Session Chair for the international peer-reviewed conference and the reviewer for several international journals and conferences. She is the principal editor for 1 book and the author/co-author of approximately 30 papers. She is a PI or attends about 10 projects and authorized for several Chinese patents.
She has been awarded as the Model for National Civil Aviation Women, Advance Individual of Tianjin Educational Systems, the Second Level Personnel for Tianjin Innovative Talents Training Project and several awards from Civil Aviation University of China.
+44 117 328 2533
