Citation
Behrooz Shahsavari, Mehdi Maasoumy, Alberto Sangiovanni-Vincentelli, Roberto Horowitz. "Stochastic Model Predictive Control Design for Load Management System of Aircraft Electrical Power Distribution". American Control Conference, IEEE, July, 2015.

Abstract
Aircraft Electric Power Systems (EPS) route power from generators to vital avionics loads by configuring a set of electronic control switches denoted as contactors. The external loads applied to an EPS, power requirement of the system, electrical component failure events, and the dynamics of the system are inherently uncertain. In this paper, we address the problem of designing a stochastic optimal control strategy for the EPS contactors. We first represent mathematical models of different components of an EPS, and formalize the performance metrics of the system as well as the constraints that should be satisfied in a stochastic modeling framework. We then formulate the optimization of the system performance as a stochastic model predictive control (SMPC) problem, and present two special cases of the proposed SMPC analysis to approximate the problem with linear mixed-integer optimization problems. Finally, we report simulation results to confirm the effectiveness of the proposed approach.

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• HTML

  Behrooz Shahsavari, Mehdi Maasoumy, Alberto
  Sangiovanni-Vincentelli, Roberto Horowitz. <a
  href="http://www.icyphy.org/pubs/57.html"
  >Stochastic Model Predictive Control Design for Load
  Management System of Aircraft Electrical Power
  Distribution</a>, American Control Conference, IEEE,
  July, 2015.

• Plain text

  Behrooz Shahsavari, Mehdi Maasoumy, Alberto
  Sangiovanni-Vincentelli, Roberto Horowitz. "Stochastic
  Model Predictive Control Design for Load Management System
  of Aircraft Electrical Power Distribution". American
  Control Conference, IEEE, July, 2015.

• BibTeX

  @inproceedings{ShahsavariMaasoumySangiovanniVincentelliHorowitz15_StochasticModelPredictiveControlDesignForLoadManagement,
      author = {Behrooz Shahsavari and Mehdi Maasoumy and Alberto
                Sangiovanni-Vincentelli and Roberto Horowitz},
      title = {Stochastic Model Predictive Control Design for
                Load Management System of Aircraft Electrical
                Power Distribution},
      booktitle = {American Control Conference},
      organization = {IEEE},
      month = {July},
      year = {2015},
      abstract = {Aircraft Electric Power Systems (EPS) route power
                from generators to vital avionics loads by
                configuring a set of electronic control switches
                denoted as contactors. The external loads applied
                to an EPS, power requirement of the system,
                electrical component failure events, and the
                dynamics of the system are inherently uncertain.
                In this paper, we address the problem of designing
                a stochastic optimal control strategy for the EPS
                contactors. We first represent mathematical models
                of different components of an EPS, and formalize
                the performance metrics of the system as well as
                the constraints that should be satisfied in a
                stochastic modeling framework. We then formulate
                the optimization of the system performance as a
                stochastic model predictive control (SMPC)
                problem, and present two special cases of the
                proposed SMPC analysis to approximate the problem
                with linear mixed-integer optimization problems.
                Finally, we report simulation results to confirm
                the effectiveness of the proposed approach.},
      URL = {http://icyphy.org/pubs/57.html}
  }
  

Posted by Mehdi Maasoumy on 15 Mar 2015.
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