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A model-based embedded control hardware/software co-design approach for optimized sensor selection of industrial systems

Kyriakos M. Deliparaschos, Konstantinos Michail, Spyros G. Tzafestas, Argyrios C. Zolotas
2015 2015 23rd Mediterranean Conference on Control and Automation (MED)  
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
more » ... stem 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. Moreover, the HIL technique implemented shows a significant speed-up in the required execution time when compared to the software-based model. Index Terms-Sensor selection, embedded control, FPGA design, maglev, electromagnetic suspension, observer-based controller, Hardware-In-the-Loop, FPGA-In-the-Loop. 1 K. M. Deliparaschos is with the
doi:10.1109/med.2015.7158858 dblp:conf/med/DeliparaschosMT15 fatcat:6gzutys3pbehxnz5o2tmr6m2pe