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|Title:||FPGA-Based Efficient Hardware/Software Co-Design for Industrial Systems with Consideration of Output Selection||Authors:||Deliparaschos, Kyriakos M.
Zolotas, Argyrios C.
Tzafestas, Spyros G.
|Keywords:||Electromagnetic suspension;Embedded control;FPGA;FPGA-in-the-loop;Hardware-in-the-loop;Linear quadratic Gaussian;Maglev;Sensor optimization||Category:||Computer and Information Sciences||Field:||Natural Sciences||Issue Date:||1-May-2016||Publisher:||Slovenska Technicka Univerzita||Source:||Journal of Electrical Engineering, 2016, Volume 67, Issue 3, Pages 150-159||metadata.dc.doi:||10.1515/jee-2016-0022||Abstract:||This work presents a field programmable gate array (FPGA)-based embedded software platform coupled with a software-based plant, forming a hardware-in-the-loop (HIL) that is used to validate a systematic sensor selection framework. The systematic sensor selection framework combines multi-objective optimization, linear-quadratic-Gaussian (LQG)-type control, and the nonlinear model of a maglev suspension. A robustness analysis of the closed-loop is followed (prior to implementation) supporting the appropriateness of the solution under parametric variation. The analysis also shows that quantization is robust under different controller gains. While the LQG controller is implemented on an FPGA, the physical process is realized in a high-level system modeling environment. FPGA technology enables rapid evaluation of the algorithms and test designs under realistic scenarios avoiding heavy time penalty associated with hardware description language (HDL) simulators. The HIL technique facilitates significant speed-up in the required execution time when compared to its software-based counterpart model.||URI:||http://ktisis.cut.ac.cy/handle/10488/9258||ISSN:||13353632||Rights:||© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology||Type:||Article|
|Appears in Collections:||Άρθρα/Articles|
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