Online implementation of cascade predictive pi control for nonlinear processes

Eadala Sarath Yadav; Indiran Thirunavukkarasu; Selvanathan Shanmuga Priya

doi:10.1007/978-981-15-4932-8_5

Online implementation of cascade predictive pi control for nonlinear processes

Eadala Sarath Yadav, Indiran Thirunavukkarasu, Selvanathan Shanmuga Priya

Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal
Department of Chemical Engineering, Manipal Institute of Technology, Manipal

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

Abstract

This paper is concerned with design of predictive PI control algorithm for nonlinear cascade process. Conical tank level process and flow process are considered as inner and outer loops of cascade blocks, respectively. Control algorithm is extended version of smith predictor which reflects actuator action, whereas cascade approach deals with disturbance rejection and system performance. The experimental setup is interconnected in such a way that flow process uses the inflow from the conical tank’s outflow. The methodology is implemented to minimize the energy consumption of final control element. Results are effective enough to validate the methodology and neglect input constraints for limited operating region.

Original language	English
Title of host publication	Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019
Editors	Rabindranath Bera, Prashant Chandra Pradhan, Sourav Dhar, Samarendra Nath Sur, Chuan-Ming Liu
Publisher	Springer Gabler
Pages	39-45
Number of pages	7
ISBN (Print)	9789811549311
DOIs	https://doi.org/10.1007/978-981-15-4932-8_5
Publication status	Published - 2020
Event	3rd International Conference on Communication, Devices and Networking, ICCDN 2019 - Majitar, India Duration: 09-12-2019 → 10-12-2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	662
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	3rd International Conference on Communication, Devices and Networking, ICCDN 2019
Country/Territory	India
City	Majitar
Period	09-12-19 → 10-12-19

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-15-4932-8_5

Cite this

Sarath Yadav, E., Thirunavukkarasu, I., & Shanmuga Priya, S. (2020). Online implementation of cascade predictive pi control for nonlinear processes. In R. Bera, P. C. Pradhan, S. Dhar, S. N. Sur, & C-M. Liu (Eds.), Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019 (pp. 39-45). (Lecture Notes in Electrical Engineering; Vol. 662). Springer Gabler. https://doi.org/10.1007/978-981-15-4932-8_5

Sarath Yadav, Eadala ; Thirunavukkarasu, Indiran ; Shanmuga Priya, Selvanathan. / Online implementation of cascade predictive pi control for nonlinear processes. Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019. editor / Rabindranath Bera ; Prashant Chandra Pradhan ; Sourav Dhar ; Samarendra Nath Sur ; Chuan-Ming Liu. Springer Gabler, 2020. pp. 39-45 (Lecture Notes in Electrical Engineering).

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abstract = "This paper is concerned with design of predictive PI control algorithm for nonlinear cascade process. Conical tank level process and flow process are considered as inner and outer loops of cascade blocks, respectively. Control algorithm is extended version of smith predictor which reflects actuator action, whereas cascade approach deals with disturbance rejection and system performance. The experimental setup is interconnected in such a way that flow process uses the inflow from the conical tank{\textquoteright}s outflow. The methodology is implemented to minimize the energy consumption of final control element. Results are effective enough to validate the methodology and neglect input constraints for limited operating region.",

author = "{Sarath Yadav}, Eadala and Indiran Thirunavukkarasu and {Shanmuga Priya}, Selvanathan",

year = "2020",

doi = "10.1007/978-981-15-4932-8_5",

language = "English",

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editor = "Rabindranath Bera and Pradhan, {Prashant Chandra} and Sourav Dhar and Sur, {Samarendra Nath} and Chuan-Ming Liu",

booktitle = "Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019",

address = "Germany",

note = "3rd International Conference on Communication, Devices and Networking, ICCDN 2019 ; Conference date: 09-12-2019 Through 10-12-2019",

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Sarath Yadav, E, Thirunavukkarasu, I & Shanmuga Priya, S 2020, Online implementation of cascade predictive pi control for nonlinear processes. in R Bera, PC Pradhan, S Dhar, SN Sur & C-M Liu (eds), Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019. Lecture Notes in Electrical Engineering, vol. 662, Springer Gabler, pp. 39-45, 3rd International Conference on Communication, Devices and Networking, ICCDN 2019, Majitar, India, 09-12-19. https://doi.org/10.1007/978-981-15-4932-8_5

Online implementation of cascade predictive pi control for nonlinear processes. / Sarath Yadav, Eadala; Thirunavukkarasu, Indiran ; Shanmuga Priya, Selvanathan.
Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019. ed. / Rabindranath Bera; Prashant Chandra Pradhan; Sourav Dhar; Samarendra Nath Sur; Chuan-Ming Liu. Springer Gabler, 2020. p. 39-45 (Lecture Notes in Electrical Engineering; Vol. 662).

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

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T1 - Online implementation of cascade predictive pi control for nonlinear processes

AU - Sarath Yadav, Eadala

AU - Thirunavukkarasu, Indiran

AU - Shanmuga Priya, Selvanathan

PY - 2020

Y1 - 2020

N2 - This paper is concerned with design of predictive PI control algorithm for nonlinear cascade process. Conical tank level process and flow process are considered as inner and outer loops of cascade blocks, respectively. Control algorithm is extended version of smith predictor which reflects actuator action, whereas cascade approach deals with disturbance rejection and system performance. The experimental setup is interconnected in such a way that flow process uses the inflow from the conical tank’s outflow. The methodology is implemented to minimize the energy consumption of final control element. Results are effective enough to validate the methodology and neglect input constraints for limited operating region.

AB - This paper is concerned with design of predictive PI control algorithm for nonlinear cascade process. Conical tank level process and flow process are considered as inner and outer loops of cascade blocks, respectively. Control algorithm is extended version of smith predictor which reflects actuator action, whereas cascade approach deals with disturbance rejection and system performance. The experimental setup is interconnected in such a way that flow process uses the inflow from the conical tank’s outflow. The methodology is implemented to minimize the energy consumption of final control element. Results are effective enough to validate the methodology and neglect input constraints for limited operating region.

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T3 - Lecture Notes in Electrical Engineering

SP - 39

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BT - Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019

A2 - Bera, Rabindranath

A2 - Pradhan, Prashant Chandra

A2 - Dhar, Sourav

A2 - Sur, Samarendra Nath

A2 - Liu, Chuan-Ming

PB - Springer Gabler

T2 - 3rd International Conference on Communication, Devices and Networking, ICCDN 2019

Y2 - 9 December 2019 through 10 December 2019

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Sarath Yadav E, Thirunavukkarasu I , Shanmuga Priya S. Online implementation of cascade predictive pi control for nonlinear processes. In Bera R, Pradhan PC, Dhar S, Sur SN, Liu C-M, editors, Advances in Communication, Devices and Networking - Proceedings of ICCDN 2019. Springer Gabler. 2020. p. 39-45. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-4932-8_5

Online implementation of cascade predictive pi control for nonlinear processes

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

UN SDGs

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