Control of Levels of Water of Coupled Tank System with Input Constraints Present

Sowmya Gupta; Chinmay Rajhans

doi:10.1007/978-981-97-5866-1_6

Control of Levels of Water of Coupled Tank System with Input Constraints Present

Sowmya Gupta
, Chinmay Rajhans^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Nonlinear Model Predictive Control (NMPC) has applications in many fields of engineering. Several variants of MPC exist such as linear MPC, successive linearization MPC, nonlinear MPC, quasi infinite horizon NMPC. Current work presents application of the quasi infinite horizon NMPC to chemical engineering domain. Results are presented for a four tank case study. System aims to control levels of the 4 tanks using 2 flow rates as the control inputs. System is complex because of the coupling of the levels and constraints on the input, i.e., the flow rates. First principles model is used for getting the results. Average deviation of 5 cm is given in the initial condition and all the levels converge to the steady state within 80 seconds.

Original language	English
Title of host publication	Control and Information Sciences - Select Proceedings of CISCON 2023
Editors	I. Thirunavukkarasu, Roshan Kumar
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	65-73
Number of pages	9
ISBN (Print)	9789819758654
DOIs	https://doi.org/10.1007/978-981-97-5866-1_6
Publication status	Published - 2024
Event	Control Instrumentation System Conference, CISCON 2023 - Manipal, India Duration: 06-10-2023 → 07-10-2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1236 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Control Instrumentation System Conference, CISCON 2023
Country/Territory	India
City	Manipal
Period	06-10-23 → 07-10-23

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-97-5866-1_6

Cite this

Gupta, S., & Rajhans, C. (2024). Control of Levels of Water of Coupled Tank System with Input Constraints Present. In I. Thirunavukkarasu, & R. Kumar (Eds.), Control and Information Sciences - Select Proceedings of CISCON 2023 (pp. 65-73). (Lecture Notes in Electrical Engineering; Vol. 1236 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-5866-1_6

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title = "Control of Levels of Water of Coupled Tank System with Input Constraints Present",

abstract = "Nonlinear Model Predictive Control (NMPC) has applications in many fields of engineering. Several variants of MPC exist such as linear MPC, successive linearization MPC, nonlinear MPC, quasi infinite horizon NMPC. Current work presents application of the quasi infinite horizon NMPC to chemical engineering domain. Results are presented for a four tank case study. System aims to control levels of the 4 tanks using 2 flow rates as the control inputs. System is complex because of the coupling of the levels and constraints on the input, i.e., the flow rates. First principles model is used for getting the results. Average deviation of 5 cm is given in the initial condition and all the levels converge to the steady state within 80 seconds.",

author = "Sowmya Gupta and Chinmay Rajhans",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; Control Instrumentation System Conference, CISCON 2023 ; Conference date: 06-10-2023 Through 07-10-2023",

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language = "English",

isbn = "9789819758654",

series = "Lecture Notes in Electrical Engineering",

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Gupta, S & Rajhans, C 2024, Control of Levels of Water of Coupled Tank System with Input Constraints Present. in I Thirunavukkarasu & R Kumar (eds), Control and Information Sciences - Select Proceedings of CISCON 2023. Lecture Notes in Electrical Engineering, vol. 1236 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 65-73, Control Instrumentation System Conference, CISCON 2023, Manipal, India, 06-10-23. https://doi.org/10.1007/978-981-97-5866-1_6

Control of Levels of Water of Coupled Tank System with Input Constraints Present. / Gupta, Sowmya ; Rajhans, Chinmay.
Control and Information Sciences - Select Proceedings of CISCON 2023. ed. / I. Thirunavukkarasu; Roshan Kumar. Springer Science and Business Media Deutschland GmbH, 2024. p. 65-73 (Lecture Notes in Electrical Engineering; Vol. 1236 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Control of Levels of Water of Coupled Tank System with Input Constraints Present

AU - Gupta, Sowmya

AU - Rajhans, Chinmay

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - Nonlinear Model Predictive Control (NMPC) has applications in many fields of engineering. Several variants of MPC exist such as linear MPC, successive linearization MPC, nonlinear MPC, quasi infinite horizon NMPC. Current work presents application of the quasi infinite horizon NMPC to chemical engineering domain. Results are presented for a four tank case study. System aims to control levels of the 4 tanks using 2 flow rates as the control inputs. System is complex because of the coupling of the levels and constraints on the input, i.e., the flow rates. First principles model is used for getting the results. Average deviation of 5 cm is given in the initial condition and all the levels converge to the steady state within 80 seconds.

AB - Nonlinear Model Predictive Control (NMPC) has applications in many fields of engineering. Several variants of MPC exist such as linear MPC, successive linearization MPC, nonlinear MPC, quasi infinite horizon NMPC. Current work presents application of the quasi infinite horizon NMPC to chemical engineering domain. Results are presented for a four tank case study. System aims to control levels of the 4 tanks using 2 flow rates as the control inputs. System is complex because of the coupling of the levels and constraints on the input, i.e., the flow rates. First principles model is used for getting the results. Average deviation of 5 cm is given in the initial condition and all the levels converge to the steady state within 80 seconds.

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Control of Levels of Water of Coupled Tank System with Input Constraints Present

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