What is it about?
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.
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Why is it important?
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.
Perspectives
The work here is looking at advanced control design in an integrated framework aiming to essentially reduce FPGA resources hence minimize the implementation cost.
Dr Argyrios C Zolotas
Cranfield University
Read the Original
This page is a summary of: FPGA–Based Efficient Hardware/Software Co–Design for Industrial Systems with Consideration of Output Selection, January 2016, De Gruyter,
DOI: 10.1515/jee-2016-0022.
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