This paper reviews the state of the art of Field Programmable Gate Array (FPGA) design methodologies with a focus on Industrial Control System applications. The paper starts with an overview of FPGA technology development, followed by a presentation of design methodologies, development tools and relevant CAD environments, including the use of portable Hardware Description Languages and System Level Programming / Design tools. They enable a holistic functional approach with the major advantage of setting up a unique modeling and evaluation environment for complete industrial electronics systems. Three main design rules are then presented. These are: algorithm refinement, modularity and systematic search for the best compromise between the control performance and the architectural constraints. An overview of contributions and limits of FPGAs is also given, followed by a short survey of FPGA-based intelligent controllers for modern industrial systems. Finally, two complete and timely case studies are presented to illustrate the benefits of an FPGAimplementation when using the proposed system modeling and design methodology. These consist of the Direct Torque Control for induction motor drives and the control of a diesel driven synchronous stand-alone generator with the help of fuzzy logic.

Abstract-The Kalman filter has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 70s, 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 Kalman filter in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.

-The aim of this paper is to review the state of the art of Field Programmable Gate Array (FPGA) technologies and their contribution in industrial control applications. Authors start by addressing various research fields where FPGAs are useful. The features of these devices are then presented followed by their corresponding design tools. To illustrate the benefit 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. Another example of illustration is the Neural Network Systems. To show the interest of FPGAs in this field, some case studies have been presented.