Design of Kalman observer for estimation of in-flow

Bhagya R. Navada, K. V. Santhosh, Aadil Mazhar, Ashish Kumar Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a technique of inflow measurement using an estimator designed using Kalman observer. The objective of the proposed work is to compute the flow rate before the actuator. Actuators are used as final control element to vary the flow rate based on the set point value. Pneumatic control valve is a most common actuator used in a flow process. The purpose of the valve is to cause an obstruction to the flow based on the set point. Percentage of obstruction is proportional to the flow rate. Estimation of flow rate before the actuation would reduce the burden on controller by avoiding repeated tuning. Kalman observer is used to design the estimator. The designed estimator is validated with simulation and real life data. Results show successful implementation of proposed work.

Original languageEnglish
Title of host publication2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1010-1014
Number of pages5
Volume2018-January
ISBN (Electronic)9781509061068
DOIs
Publication statusPublished - 19-04-2018
Event2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 - Kannur, India
Duration: 06-07-201707-07-2017

Conference

Conference2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017
CountryIndia
CityKannur
Period06-07-1707-07-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Optimization
  • Instrumentation

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  • Cite this

    Navada, B. R., Santhosh, K. V., Mazhar, A., & Singh, A. K. (2018). Design of Kalman observer for estimation of in-flow. In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 (Vol. 2018-January, pp. 1010-1014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICICT1.2017.8342705