A System-on-a-Chip Implementation for Embedded Real-Time Model Predictive Control

This paper presents a hardware architecture for embedded real-time model predictive control (MPC). The computational cost of an MPC problem, which relies on the solution of an optimization problem at every time step, is dominated by operations on real matrices. In order to design an efficient and lo...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on control systems technology Ročník 17; číslo 5; s. 1006 - 1017
Hlavní autori: Vouzis, P.D., Kothare, M.V., Bleris, L.G., Arnold, M.G.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.09.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Application specific processors
Applied sciences
Architecture
Arithmetic
Computational efficiency
Computer architecture
Computer science; control theory; systems
Control theory. Systems
Coprocessors
Design
Design engineering
Embedded systems
Exact sciences and technology
Hardware
logarithmic number system (LNS)
Mathematical models
Microdevice
Microprocessors
model predictive control (MPC)
Optimal control
Predictive control
Predictive models
Real time
Real time systems
Studies
System-on-a-chip
system-on-chip
Description language
Processor
Arithmetics
Logarithmic function
Non linear control
Field programmable gate array
Real time
Optimization
model predictive control (MPC)
Circuit architecture
Boarded computer
Model predictive control
Embedded systems
Coprocessor
Performance requirement
Optimal control
logarithmic number system (LNS)
Arithmetic operation
Custom circuit
system-on-chip
Microdevice
Antenna
Real matrix
ISSN:1063-6536, 1558-0865
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:This paper presents a hardware architecture for embedded real-time model predictive control (MPC). The computational cost of an MPC problem, which relies on the solution of an optimization problem at every time step, is dominated by operations on real matrices. In order to design an efficient and low-cost application-specific processor, we analyze the computational cost of MPC, and we propose a limited-resource host processor to be connected with an application-specific matrix coprocessor. The coprocessor uses a 16-b logarithmic number system arithmetic unit, which is designed using cotransformation, to carry out the required arithmetic operations. The proposed architecture is implemented by means of a hardware description language and then prototyped and emulated on a field-programmable gate array. Results on computation time and architecture area are presented and analyzed, and the functionality of the proposed architecture is verified using two case studies: a linear problem of a rotating antenna and a nonlinear glucose-regulation problem. The proposed MPC architecture yields a small-in-size and energy-efficient implementation that is capable of solving the aforementioned problems on the order of milliseconds, and we compare its performance and area requirements with other MPC designs that have appeared in the literature.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2008.2004503