Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/8214
Title: A model-based embedded control hardware/software co-design approach for optimized sensor selection of industrial systems
Authors: Michail, Konstantinos 
Tzafestas, Spyros 
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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