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