Energy-aware robust model predictive control based on noisy wireless sensors

  • Authors:
  • Daniele Bernardini;Alberto Bemporad

  • Affiliations:
  • Department of Mechanical and Structural Engineering, University of Trento, via Mesiano, 77, 38100 Trento, Italy;IMT Institute for Advanced Studies Lucca, Piazza S. Ponziano, 6, 55100Lucca, Italy

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2012

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Abstract

Wireless sensor networks (WSNs) are becoming fundamental components of modern control systems due to their flexibility, ease of deployment and low cost. However, the energy-constrained nature of WSNs poses new issues in control design; in particular the discharge of batteries of sensor nodes, which is mainly due to radio communications, must be taken into account. In this paper we present a novel transmission strategy for communication between controller and sensors which is intended to minimize the data exchange over the wireless channel. Moreover, we propose an energy-aware control technique for constrained linear systems based on explicit model predictive control (MPC), providing closed-loop stability in the presence of disturbances. The presented control schemes are compared to traditional MPC techniques. The results show the effectiveness of the proposed energy-aware approach, which achieves a profitable trade-off between energy savings and closed-loop performance.