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Sensors 2009, 9(9), 6795-6818; doi:10.3390/s90906795

On the Application of Different Event-Based Sampling Strategies to the Control of a Simple Industrial Process

Department of Computer Science and Automatic Control, UNED, C/ Juan del Rosal, 16, 28040 Madrid, Spain
National University of San Luis, San Luis, Argentina
Author to whom correspondence should be addressed.
Received: 7 July 2009 / Revised: 20 August 2009 / Accepted: 24 August 2009 / Published: 27 August 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain)
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This paper is an experimental study of the utilization of different event-based strategies for the automatic control of a simple but very representative industrial process: the level control of a tank. In an event-based control approach it is the triggering of a specific event, and not the time, that instructs the sensor to send the current state of the process to the controller, and the controller to compute a new control action and send it to the actuator. In the document, five control strategies based on different event-based sampling techniques are described, compared, and contrasted with a classical time-based control approach and a hybrid one. The common denominator in the time, the hybrid, and the event-based control approaches is the controller: a proportional-integral algorithm with adaptations depending on the selected control approach. To compare and contrast each one of the hybrid and the pure event-based control algorithms with the time-based counterpart, the two tasks that a control strategy must achieve (set-point following and disturbance rejection) are independently analyzed. The experimental study provides new proof concerning the ability of event-based control strategies to minimize the data exchange among the control agents (sensors, controllers, actuators) when an error-free control of the process is not a hard requirement. View Full-Text
Keywords: send-on-delta; event-based control; PI controller send-on-delta; event-based control; PI controller

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Sánchez, J.; Guarnes, M.Á.; Dormido, S. On the Application of Different Event-Based Sampling Strategies to the Control of a Simple Industrial Process. Sensors 2009, 9, 6795-6818.

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