DocumentCode :
3738271
Title :
A software configurable and parallelized coprocessor architecture for LQR control
Author :
Pei Zhang;Aaron Mills;Joseph Zambreno;Phillip H. Jones
Author_Institution :
Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, USA 50010
fYear :
2015
Firstpage :
1
Lastpage :
8
Abstract :
We present a software configurable and parallelized coprocessor architecture for Linear Quadratic Regulator (LQR) control that can control physical processes representable by a linear state-space model. Our proposed architecture has distinct advantages over purely software or purely hardware approaches. It differs from other hardware controllers in that it is not hardwired to control one or a small range of plant types (e.g. only electric motors). Via software, an embedded systems engineer can easily reconfigure the controller to suit a wide range of control applications that can be represented as a state-space model. One goal of our approach is to support a design methodology to help bridge the gap between control and embedded system software engineering. Control of the well-understood inverted pendulum on a cart is used as an illustrative example of how the proposed hardware accelerator architecture supports our envisioned design methodology for helping bridge this gap. Additionally, we explore the design space of our co-processor´s parallel architecture in terms of computing speed and resource utilization. Our performance results show a 3.4 to 100 factor speedup over a 666 MHz embedded ARM processor, for plants that can be represented by 4 to 128 states respectively.
Keywords :
"Software","Hardware","Algorithm design and analysis","Field programmable gate arrays","Standards","Computer architecture","Sensors"
Publisher :
ieee
Conference_Titel :
ReConFigurable Computing and FPGAs (ReConFig), 2015 International Conference on
Type :
conf
DOI :
10.1109/ReConFig.2015.7393360
Filename :
7393360
Link To Document :
بازگشت