On the issue of LQG embedded control realization in a Maglev system

Deliparaschos, Kyriakos M. and Michail, Konstantinos and Zolotas, Argyrios (2017) On the issue of LQG embedded control realization in a Maglev system. In: Control and Automation (MED), 2017 25th Mediterranean Conference on, 3-6 July 2017, Valetta, Malta.

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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.

Keywords:Mathematical model, Field programmable gate arrays, Environmental management, Control systems, Energy management, Robot sensing systems, Hardware design languages
Subjects:H Engineering > H100 General Engineering
H Engineering > H332 Rail Vehicle Engineering
G Mathematical and Computer Sciences > G150 Mathematical Modelling
G Mathematical and Computer Sciences > G620 Programming
Divisions:College of Science > School of Engineering
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ID Code:28246
Deposited On:07 Aug 2017 10:05

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