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|Title:||A model-based embedded control hardware/software co-design approach for optimized sensor selection of industrial systems||Authors:||Michail, Konstantinos
Zolotas, Argyrios C.
Deliparaschos, Kyriakos M.
|Keywords:||Embedded control systems;Real-time control;Control||Category:||Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Engineering and Technology||Issue Date:||2015||Publisher:||Institute of Electrical and Electronics Engineers Inc.||Source:||23rd Mediterranean Conference on Control & Automation, 2015, Torremolinos, Spain, 16-19 June||metadata.dc.doi:||10.1109/MED.2015.7158858||Abstract:||In this work, a Field Programmable Gate Array (FPGA)-based embedded software platform coupled with a software-based plant, forming a Hardware-In-the-Loop (HIL), is used to validate a systematic sensor selection framework. The systematic sensor selection framework combines multi-objective optimization, Linear-Quadratic-Gaussian (LQG) control, and the nonlinear model of a maglev suspension. The physical process that represents the suspension plant is realized in a high-level system modeling environment, while the LQG controller is implemented on an FPGA. FPGAs allow to rapidly evaluate algorithms and test designs under real-world scenarios avoiding heavy time penalty associated with Hardware Description Language (HDL) simulators. In addition, the HIL technique implemented has shown a significant speed-up in the required execution time when compared to the software-based model.||ISBN:||978-147999936-1||Rights:||© 2015 IEEE.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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