This paper addresses to some of the latest contributions on the application of Finite Control Set Model Predictive Control (FCS-MPC) in Power Electronics. In FCS-MPC , the switching states are directly applied to the power converter, without the need of an additional modulation stage. The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics. Some applications of this technology in drives, active filters, power conditioning, distributed generation and renewable energy are covered. Finally, attention is paid to the discussion of new trends in this technology and to the identification of open questions and future research topics.

State of the Art of Finite Control Set Model Predictive Control in Power Electronics

This paper presents a comprehensive study on the state-of-the-art and emerging wind energy technologies from the electrical engineering perspective. In an attempt to decrease cost of energy, increase the wind energy conversion efficiency, reliability, power density, and comply with the stringent grid codes, the electric generators and power electronic converters have emerged in a rigorous manner. From the market based survey, the most successful generator-converter configurations are addressed along with few promising topologies available in the literature. The back-to-back connected converters, passive generator-side converters, converters for multiphase generators, and converters without intermediate dc-link are investigated for high-power wind energy conversion systems (WECS), and presented in low and medium voltage category. The onshore and offshore wind farm configurations are analyzed with respect to the series/parallel connection of wind turbine ac/dc output terminals, and high voltage ac/dc transmission. The fault-ride through compliance methods used in the induction and synchronous generator based WECS are also discussed. The past, present and future trends in megawatt WECS are reviewed in terms of mechanical and electrical technologies, integration to power systems, and control theory. The important survey results, and technical merits and demerits of various WECS electrical systems are summarized by tables. The list of current and future wind turbines are also provided along with technical details.

High-Power Wind Energy Conversion Systems: State-of-the-Art and Emerging Technologies

Rapid advances in industrial information integration methods have spurred tremendous growth in the use of enterprise systems. Consequently, a variety of techniques have been used for probing enterprise systems. These techniques include business process management, workflow management, Enterprise Application Integration (EAI), Service-Oriented Architecture (SOA), grid computing, and others. Many applications require a combination of these techniques, which is giving rise to the emergence of enterprise systems. Development of the techniques has originated from different disciplines and has the potential to significantly improve the performance of enterprise systems. However, the lack of powerful tools still poses a major hindrance to exploiting the full potential of enterprise systems. In particular, formal methods and systems methods are crucial for modeling complex enterprise systems, which poses unique challenges. In this paper, we briefly survey the state of the art in the area of enterprise systems as they relate to industrial informatics.

Enterprise Systems: State-of-the-Art and Future Trends

The aim of this paper is to review the state-of-the-art of Field Programmable Gate Array (FPGA) technologies and their contribution to industrial control applications. Authors start by addressing various research fields which can exploit the advantages of FPGAs. The features of these devices are then presented, followed by their corresponding design tools. To illustrate the benefits of using FPGAs in the case of complex control applications, a sensorless motor controller has been treated. This controller is based on the Extended Kalman Filter. Its development has been made according to a dedicated design methodology, which is also discussed. The use of FPGAs to implement artificial intelligence-based industrial controllers is then briefly reviewed. The final section presents two short case studies of Neural Network control systems designs targeting FPGAs.

https://hal-centralesupelec.archives-ouvertes.fr/hal-01337007/document

FPGAs in Industrial Control Applications

The Kalman filter (KF) has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 1970s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing, and so on. This paper provides a brief overview of the industrial applications and implementation issues of the KF in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.

/pdf/industrial-applications-of-the-kalman-filter-a-review-tqdmwc4feq.pdf

Industrial Applications of the Kalman Filter: A Review

https://hal-centralesupelec.archives-ouvertes.fr/hal-01970593/document

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

This paper aims to provide Hardware/Software (Hw/Sw) codesign guidelines for system-on-chip field-programmable gate array-based sensorless ac drive applications. Among these guidelines, an efficient Hw/Sw partitioning procedure is presented. This Hw/Sw partitioning is performed taking into account both the control requirements (bandwidth and stability margin) and the architectural constraints (e.g., available area, memory, and hardware multipliers). A nondominated sorting genetic algorithm (NSGA-II) is used to solve the corresponding multi-objective optimization problem. The proposed Hw/Sw partitioning approach is then validated on a sensorless control algorithm for a synchronous motor based on an extended Kalman filter. Among the nondominated implementation solutions supplied by the NSGA-II, those that are considered as the most interesting are synthesized. Their time/area performances after synthesis are compared with success to their predictions. In addition, one of these optimal solutions is also tested on an experimental setup.

Hardware/Software Codesign Guidelines for System on Chip FPGA-Based Sensorless AC Drive Applications

The value of intermittent cervical traction in recent cervical radiculopathy.

This paper presents a short state-of-the-art Field Programmable Gate Array (FPGA) technology. An efficient design methodology for designing FPGA-based controllers is also described. To illustrate the interest of this methodology, a complex sensorless algorithm for AC drives has been chosen. It consists in an Extended Kalman Filter (EKF), which is most of the time implemented in a DSP controller. In the last part of the paper, authors try to demonstrate all the benefits of using FPGAs for power electronic and drive applications. Two cases are discussed, the high demanding applications and the constrained switching frequency applications.

Imen Bahri

Papers

FPGAs in Industrial Control Applications

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

Hardware/Software Codesign Guidelines for System on Chip FPGA-Based Sensorless AC Drive Applications

The value of intermittent cervical traction in recent cervical radiculopathy.

Design methodology and FPGA-based controllers for Power Electronics and drive applications