Next Article in Journal
Multivariable Control of Solar Battery Power by Extremum Seeking: Starting from Linear Analysis
Previous Article in Journal
The Quality Control of the Automatic Manipulating Process of a Flexible Container When Bulk Materials are Packaged
Open AccessArticle

A Soft Sensor for Estimation of In-Flow Rate in a Flow Process Using Pole Placement and Kalman Filter Methods

1
Department of Instrumentation and Control Engineering, Centre for Cyber Physical System Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal 576104, India
2
Institute of Automation, Fachbereich 1, Universität Bremen, Bibliothekstrasse 1, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Machines 2019, 7(4), 63; https://doi.org/10.3390/machines7040063
Received: 25 July 2019 / Revised: 25 September 2019 / Accepted: 29 September 2019 / Published: 2 October 2019
This article reports the design of a soft sensor for estimation of in-flow to the control valve in a flow process. The objective of the proposed work is to design and compare the performance of pole placement and Kalman filter-based observers. The observer is designed to estimate the in-flow from the measured out-flow. A mathematical model is derived for the considered physical plant using the system identification technique. An observer is designed using Pole Placement and Kalman Filter methods from the derived plant model. The obtained observer is implemented on a real-life setup for estimation of the in-flow rate. Results obtained from the designed observers are then analyzed to select the better observer. Comparison of performance based on results from Kalman Filter and Pole Placement method of observers shows that the former is more accurate, whereas the computation time is smaller in the latter. Results achieved from the designed soft sensor are verified using an electromagnetic flowmeter, and the results have a root-mean-square percentage error of 0.79%. View Full-Text
Keywords: flow measurement; kalman filter; observer; pole placement; soft sensor flow measurement; kalman filter; observer; pole placement; soft sensor
Show Figures

Figure 1

MDPI and ACS Style

Navada, B.R.; Venkata, S.K.; Rao, S. A Soft Sensor for Estimation of In-Flow Rate in a Flow Process Using Pole Placement and Kalman Filter Methods. Machines 2019, 7, 63.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop