DocumentCode :
666312
Title :
Adaptive controllers for level-crossing sampling: Conditions and comparison
Author :
Hensel, Bernhard ; Kabitzsch, Klaus
Author_Institution :
Tech. Inf. Syst., Dresden Univ. of Technol., Dresden, Germany
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
3870
Lastpage :
3876
Abstract :
When wireless sensors are used for control purposes (e. g. room temperature control), energy efficiency of the sensors is of great interest, because the energy must come from a (limited) battery or from energy harvesting. Since message transmission is the most critical point regarding energy efficiency, event-based sampling is a typical method for reducing the message rate. Levelcrossing sampling, also known as send-on-delta sampling, is the most popular type of event-based sampling. Some technical processes are time-variant. The controller parameters should then be updated regularly to reach good control performance. Adaptive controllers are able to estimate the current process parameters and optimize the controller parameters automatically. Adaptive control and event-based sampling have hardly been examined together. One focus of this paper is the analysis of preconditions which must be fulfilled to apply adaptive controllers in conjunction with level-crossing (or event-based) sampling sampling. Further, performance measures are discussed which are the basis for a qualitative comparison of such controllers. This paper finally compares two adaptive control strategies with respect to level-crossing sampling.
Keywords :
adaptive control; energy conservation; parameter estimation; signal sampling; adaptive controllers; control performance; controller parameter optimization; controller parameter updating; energy harvesting; event-based sampling; level-crossing sampling; message rate reduction; message transmission; performance measure; precondition analysis; process parameter estimation; room temperature control; send-on-delta sampling; sensor energy efficiency; wireless sensors; Adaptation models; Adaptive control; Heating; Mathematical model; Process control; Sensors; Temperature measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699753
Filename :
6699753
Link To Document :
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