The 2nd International Conference on Green Energy Conversion Systems
September 29- October 1, 2023, Djerba, Tunisia
Plenary Speakers
Pr. Yuri Shtessel received the M.S. and Ph.D. degrees in Electrical Engineering with concentration in Automatic Control from the South Ural State University, Chelyabinsk, Russia in 1971 and 1978, respectively. Since 1993, he has been with the Electrical and Computer Engineering Department, The University of Alabama in Huntsville, and his present position is Distinguished Professor Emeritus. His research interests include sliding mode control and observation with applications to electric power system resilient control, and aerospace vehicle control. He is the author of more than 120 journal papers, 20 book chapters, over 230 papers in refereed conference proceedings, and 2 patents. Dr. Shtessel authored (with C. Edwards, L. Fridman, and A. Levant) a textbook “Sliding Mode Control and Observation,” Birkhauser, 2014 that was awarded IFAC Control Engineering Textbook Prize in 2020. He is a recipient of the Distinguished Visiting Fellowship of the Royal Academy of Engineering, UK (2008); the Lady Davis Fellowship (2003), and the IEEE Third Millennium Medal (2000). He is a member of the IEEE Variable Structure Systems Technical Committee and the IEEE CSS Conference Editorial Board. Also, he serves as Subject Editor of the Journal of the Franklin Institute, and Associate Editor of IEEE Transactions on Aerospace and Electronic Systems. He also holds the ranks of Associate Fellow of AIAA and Senior Member of IEEE.
Sliding Mode Control: Electric Vehicle Power System Application
Authors: Y. Shtessel and M. Ghanes
Presenter: Pr. Y. Shtessel
Control under uncertainty is one of the main topics of the modern control theory. The idea of sliding mode and higher order sliding mode control (SMC/HOSMC) is to drive the system trajectory to properly chosen constraints (sliding manifold) in finite time and keeping it there for all consecutive time by means of high-frequency switching control. The main features of SMC/HOSMC are its insensitivity to bounded disturbances matched by control, high stabilization accuracy, and finite-time convergence. Therefore, SMC/HOSMC remains, probably, the main choice in handling systems with bounded uncertainties/disturbances. Adaptive HOSMC is able handling perturbations with unknown bounds while mitigating chattering. Application of SMC/HOSMC with adaptation to controlling an electric car perturbed electric power system comprised of a Hydrogen Fuel Cell (HFC), boost and boost/buck DC-DC power converters and the Ultra-capacitor (UC) is considered. A relative degree approach is applied for controlling the servomotor (that is the main controllable load of the electric car) speed in the presence of the torque disturbances via controlling directly the armature voltage. The direct voltage control is accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. The non-minimum phase property of the DC-DC boost converter is eliminated by controlling the HFC and UC current based on the power balance approach. The current in HFC and the servo-motor speed are controlled by the adaptive-gain second order sliding mode controllers (2-ASMC). The conventional 1 st order Sliding Mode Controllers (SMC) are employed for controlling the output voltage of the DC-DC boost power converter and the load current of the UC. The efficiency and robustness of the HFC/UC-based electric power systems controlled by SMC and 2-ASMC are confirmed on a case study of electric car speed control via computer simulations
Pr. Adel Mellit is Professor of Electronics at the Faculty of Sciences and Technology, University of Jijel, Algeria. He received his M.S. Degree and PhD in Electronics from the University of Sciences Technologies (USTHB) Algiers in 2002 and 2006 respectively. Research interests of Dr. Adel Mellit focus on the application of the artificial intelligence techniques and embedded systems in photovoltaic systems. He has authored and co-authored more than 180 papers in international peer reviewed journals (mostly in Elsevier), and papers in conference proceedings (Mostly in IEEE and Springer) mainly on photovoltaic systems, six book chapters, three proceedings books and three books (Springer and Elsevier). He was the Director of the Renewable Energy Laboratory at the University of Jijel, Algeria (2012-2022). Associate Member at the ICTP Trieste, Italy, Subject editor of Energy journal (Elsevier, Ltd), Editor of the IEEE journal of Photovoltaics (IEEE) and Editorial board member of the Renewable Energy journal (Elsevier).
Embedded machine learning for photovoltaic systems: challenges, recommendations and future directions
Presenter: Pr. Adel MELLIT
Embedded systems (ESs) have showed their capability to address various engineering problems, such as electric vehicles, charging stations, health sector, factory robot, medical devices, and other. These type of ESs have been developed and designed to carry out specific tasks. Recently few attempts have been carried out in the area of solar energy, particularly photovoltaic (PV) systems. Most available works, of ESs in this field, tried to develop and use recent techniques (e.g. machine learning, deep learning and internet of things), and advanced technologies (e.g. smart sensors, SoC, and reconfigurable devices) to solve certain difficulties in PVs (e.g. monitoring, fault diagnosis, optimization, control and other). The ESs plying a mission-critical role in PV applications and certainly will contribute to advance this sector. This talk will focus mainly on the application of embedded machine learning (EML) in PV arrays (monitoring, fault detection, diagnosis…). Advantages and limits of EML in terms of feasibility, cost-effectiveness, complexity, and generalization capability for a large-scale integration will be presented in this talk. The conclusion of the talk will highlight the main challenges, recommendations for future directions in this area.
Contact : Email: adel_mellit@univ-jijel.dz
Pr. Malek GHANES is Professor at Centrale Nantes (CN) and the director of the Chair on Electric Vehicle (EV) and Hybrid EV (HEV) performances between Renault and CN. In the framework of this Chair, he is the coordinator of the first program on EV propulsion and its control (E-PiCo) in Europe. This program was accredited and supported in 2019 by the Erasmus+ Programme of the European Union, label of excellence. Since 2020, Prof. Malek GHANES is the co-head of the LS2N Control team. He is also the coordinator of the PhC Maghreb project on renewable energy management since 2021. From September 2006 to April 2016, he has been with ECS-Lab, Quartz, ENSEA, where he was an Associate Professor and the Head of the Department of Automatic and Electrical Engineering. He received the M.Sc. degree and Ph.D. in applied automatic and informatics both from IRCCyN (now LS2N), CN, in 2002 and 2005, respectively. From sept. 2005 to sept. 2006, he was a Postdoctoral position at GReyC. In 2000-2001, he received the engineer’s and magister degrees in control systems from UMMTO. His research interests include observation and control of nonlinear systems, with applications mainly to electric systems. Prof. Malek GHANES was recipient of the Best Paper Award 2014 from the Journal of Control Engineering Practice (CEP) for his work on fuel cell energy management for electric vehicle applications. He was also recipient of the Applied Research Award 2015 from the Federation of Electronic, Electrical and Communications Industries (FIEEC) for his pioneering work on the development of robust and inexpensive automatic control methods. He has published several journals, conferences and patents. He served as Associate Editor for the CEP journal from 2012 to 2020 and his now an associate editor of Energies and World Electric Vehicle journals.
Electric Mobility: Improving the performance of electric vehicles
Presenter: Pr. M. Ghanes
The plenary talk aims to present advanced methodologies and technologies that have been developed during the last 6 years in the framework of the Chair between Renault and Centrale Nantes (CN) on Electric Vehicle (EV) and Hybrid EV (HEV) performances improvement (https://renault-chair.ec-nantes.fr/).
The principal objectives behind that developments are to reduce the cost of electric and hybrid powertrains in order to render them affordable while respecting a high level of requirements on their performance, operational safety and reliability. This talk will focus on the developments related to torque monitoring and sensorless control as well as battery and series HEV energy management. Moreover, a program training E-PICo lunched in 2020 and founded in 2019 by EU will be presented as well as the test benches that have been setuped for the real-time implementation of the developed advanced methodologies.