Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Predictive Control of a Boeing 747 Aircraft using an FPGA

Author(s):

E.N. Hartley, J.L. Jerez, A. Suardi, Jan M. Maciejowski, E.C. Kerrigan, G. Constantinides
Conference/Journal:

Nonlinear Model Predictive Control, Noordwijkerhout, Netherlands, pp. 80-85
Abstract:

New embedded predictive control applications call for more ecient ways of solving quadratic programs (QPs) in order to meet demanding real-time, power and cost requirements. A single precision QP-on-a-chip controller is proposed, implemented in a eld-programmable gate array (FPGA) with an iterative linear solver at its core. A novel oine scaling procedure is introduced to aid the convergence of the reduced precision solver. The feasibility of the proposed approach is demonstrated with a real-time hardware-in-the-loop (HIL) experimental setup where an ML605 FPGA board controls a nonlinear model of a Boeing 747 aircraft running on a desktop PC through an Ethernet link. Simulations show that the quality of the closed-loop control and accuracy of individual solutions is competitive with a conventional double precision controller solving linear systems using a Riccati recursion.

Year:

2012
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { HarEtal:2012:IFA_4692,
    author={E.N. Hartley and J.L. Jerez and A. Suardi and Jan M. Maciejowski and E.C. Kerrigan and G. Constantinides},
    title={{Predictive Control of a Boeing 747 Aircraft using an FPGA}},
    booktitle={Nonlinear Model Predictive Control},
    pages={80--85},
    year={2012},
    address={Noordwijkerhout, Netherlands},
    month=aug,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4692}
}
Permanent link