Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/10292
Title: On the issue of LQG embedded control realization in a Maglev system
Authors: Deliparaschos, Kyriakos M. 
Michail, Konstantinos 
Zolotas, Argyrios C. 
Keywords: Mathematical model;Field programmable gate arrays;Environmental management;Control systems;Energy management;Robot sensing systems;Hardware design languages
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: Jul-2017
Source: 25th Mediterranean Conference on Control and Automation, MED 2017, University of Malta, Valletta CampusValletta; Malta; 3 July 2017 through 6 July 2017
metadata.dc.doi: http://dx.doi.org/10.1109/MED.2017.7984311
Abstract: Sensor selection in control design receives substantial interest in the last few years. We disseminate work on Field Programmable Gate Array (FPGA)-based embedded software platform validating a systematic sensor selection framework and target efficient FPGA resource allocation. Sensor selection combines multi-objective optimization, Linear-Quadratic-Gaussian (LQG) control, applied to a Maglev suspension. The nonlinear Maglev model is realized on software platform forming a Hardware-in-the-loop (HIL) as an economic and reliable validation platform for the design setup. The LQG controller was modeled in fixed point, described in Verilog Hardware Description Language (HDL) and tied up with an ethernet core to form an FPGA-in-the-loop system prior to logic synthesis and FPGA place and route. The results illustrate efficient FPGA resource allocation level pertinent to extending to a core sensor fault tolerant scheme.
URI: http://ktisis.cut.ac.cy/handle/10488/10292
Rights: © 2017 IEEE
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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