FPGA-based efficient hardware/software co-design for industrial systems with systematic sensor selection

Deliparaschos, Kyriakos and Michail, Konstantinos and Zolotas, Argyrios and Tzafestas, Spyridon (2016) FPGA-based efficient hardware/software co-design for industrial systems with systematic sensor selection. Journal of Electrical Engineering, 67 (3). pp. 150-159. ISSN 1335-3632

Full content URL: http://dx.doi.org/10.1515/jee-2016-0022

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This work presents a Field Programmable Gate Array (FPGA)-based embedded software platform coupled with a software-based plant, forming a Hardware-In-the-Loop (HIL) that is used to validate a systematic sensor selection framework. The systematic sensor selection framework combines multi-objective optimization, Linear-Quadratic-Gaussian (LQG)-type control, and the nonlinear model of a maglev suspension. A robustness analysis of the closed-loop is followed (prior to implementation) supporting the appropriateness of the solution under parametric variation. The analysis also shows that quantization is robust under different controller gains. While the LQG controller is implemented on an FPGA, the physical process is realized in a high-level system modeling environment. FPGA technology enables rapid evaluation of the algorithms and test designs under realistic scenarios avoiding heavy time penalty associated with Hardware Description Language (HDL) simulators. The HIL technique facilitates significant speed-up in the required execution time when compared to its software-based counterpart model.

Keywords:sensor selection, FPGA, Robust control, Hardware in the Loop, LQG, State estimation, JCOpen
Subjects:H Engineering > H660 Control Systems
H Engineering > H661 Instrumentation Control
H Engineering > H100 General Engineering
H Engineering > H150 Engineering Design
Divisions:College of Science > School of Engineering
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ID Code:22975
Deposited On:22 Apr 2016 08:51

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