Sensors 2014, 14(3), 4086-4110; doi:10.3390/s140304086
Article

A Multirate Control Strategy to the Slow Sensors Problem: An Interactive Simulation Tool for Controller Assisted Design

1,* email, 1email, 1email and 2email
Received: 13 January 2014; in revised form: 19 February 2014 / Accepted: 24 February 2014 / Published: 27 February 2014
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2013)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In many control applications, the sensor technology used for the measurement of the variable to be controlled is not able to maintain a restricted sampling period. In this context, the assumption of regular and uniform sampling pattern is questionable. Moreover, if the control action updating can be faster than the output measurement frequency in order to fulfill the proposed closed loop behavior, the solution is usually a multirate controller. There are some known aspects to be careful of when a multirate system (MR) is going to be designed. The proper multiplicity between input-output sampling periods, the proper controller structure, the existence of ripples and others issues need to be considered. A useful way to save time and achieve good results is to have an assisted computer design tool. An interactive simulation tool to deal with MR seems to be the right solution. In this paper this kind of simulation application is presented. It allows an easy understanding of the performance degrading or improvement when changing the multirate sampling pattern parameters. The tool was developed using Sysquake, a Matlab-like language with fast execution and powerful graphic facilities. It can be delivered as an executable. In the paper a detailed explanation of MR treatment is also included and the design of four different MR controllers with flexible structure to be adapted to different schemes will also be presented. The Smith’s predictor in these MR schemes is also explained, justified and used when time delays appear. Finally some interesting observations achieved using this interactive tool are included.
Keywords: slow sensors; non-uniform sampling; multirate control; interactive simulation; control education; non-uniform multirate controllers
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MDPI and ACS Style

Salt, J.; Cuenca, Á.; Palau, F.; Dormido, S. A Multirate Control Strategy to the Slow Sensors Problem: An Interactive Simulation Tool for Controller Assisted Design. Sensors 2014, 14, 4086-4110.

AMA Style

Salt J, Cuenca Á, Palau F, Dormido S. A Multirate Control Strategy to the Slow Sensors Problem: An Interactive Simulation Tool for Controller Assisted Design. Sensors. 2014; 14(3):4086-4110.

Chicago/Turabian Style

Salt, Julián; Cuenca, Ángel; Palau, Francisco; Dormido, Sebastián. 2014. "A Multirate Control Strategy to the Slow Sensors Problem: An Interactive Simulation Tool for Controller Assisted Design." Sensors 14, no. 3: 4086-4110.

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