Energy-aware robust model predictive control based on noisy wireless sensors. (English) Zbl 1244.93040

Bernardini, Daniele; Bemporad, Alberto

Automatica 48, No. 1, 36-44 (2012).

Summary: 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.

MSC:

93B35	Sensitivity (robustness)
93B40	Computational methods in systems theory (MSC2010)

Keywords:

model predictive control; energy-aware control; wireless sensors

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