Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/920503
- Title
- ASIC and FPGA implementation strategies for model predictive control
- Author/Creator
-
Knagge, Geoff;
Wills, Adrian;
Mills, Adam;
Ninness, Brett
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- This paper considers the system architecture and design issues for implementation of on-line Model Predictive Control (MPC) in Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs). In particular, the computationally itensive tasks of fast matrix QR factorisation, and subsequent sequential quadratic programming, are addressed for control law computation. An important aspect of this work is the study of appropriate data word-lengths for various essential stages of the overall solution strategy.
- Relation
- European Control Conference 2009 (ECC'09). ECC'09: European Control Conference 2009 Proceedings (Budapest, Hungary 23-26 August, 2009) p. 144-149
- Relation
- http://www.conferences.hu/ecc09
- Date
- 2009
- Publisher
- European Union Control Association (EUCA)
- Keyword(s)
-
model predictive control (MPC);
field programmable gate array;
application specific integrated circuits;
QR factorisation
- Resource Type
- conference paper
- Identifier
- http://hdl.handle.net/1959.13/920503
- Identifier
- ISBN:9789633113691
- Reviewed
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