NDLI: Self validating control algorithm for plants with primary sensor failure using multiple estimators

Content Provider	IEEE Xplore Digital Library
Author	Ravi, S. Jayasingh, T.
Copyright Year	2002
Description	Author affiliation: Dept. of Control & Inst., Dr. MGR Eng. Coll., Chennai, India (Ravi, S.)
Abstract	In any closed loop system, the controller acts on an error signal; the reliability of the algorithm representing the controller depends to a large extent on the exact value of the error signal. In the event of sensor failure/inaccuracy, the reliability of the control algorithm is lost and the overall system may even become unstable. We use a supervisory expert control system (SECS) which allows intelligent decisions to be taken suited for fault tolerant control. The SECS provides a conceptual structure and captures the aspects of the process which accurately represent its behaviour. A self validating control algorithm with two estimators is presented; the reliability of the sensor is monitored continuously by comparing its output with the trained estimator output before it is presented to the controller. To take care of exogenous disturbances in the primary process variable during sensor failure, the effect of interaction between primary and secondary process variables is studied and, using the interaction present, an intelligent network is built which can estimate disturbances in the primary process variable and maintain the primary process variable at the steady state value. The two estimators help in appropriately altering the guidance laws characterizing the desired response during the time of sensor failure. Experimental results show that the system remains stable even in the case of primary variable sensor failure. The performance of the overall system is measured by comparing the MSE for two types of estimator, a neural network and a least square estimator.
Sponsorship	Chinese Inst. Electron. IEEE Signal Process. Soc. IEEE URSI IEEE Beijing Sect. Nat. Natural Sci. Found. China China Committee for URSI IEEE Comput. Soc. Beijing Chapter IEEE SP Soc. Beijing Chapter
Starting Page	1807
Ending Page	1810
File Size	222969
Page Count	4
File Format	PDF
ISBN	0780374886
DOI	10.1109/ICOSP.2002.1180154
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Intelligent sensors Error correction Sensor systems Sensor phenomena and characterization Closed loop systems Fault tolerant systems Condition monitoring Intelligent networks State estimation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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