Advance control strategies for a conical process

Parashivappagol Praveen Kumar; Thirunavukkarasu Indira

doi:10.1007/978-981-10-1645-5_40

Advance control strategies for a conical process

Parashivappagol Praveen Kumar, Thirunavukkarasu Indira

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

Abstract

In this paper a Dynamic Matric Control (DMC) and Receding Horizon Control (RHC) are designed for unconstrained SISO process. These MPC variants are then simulated for a conical tank system to control the level. A first order process with dead time model for conical tank is used for simulation. The response obtained for both methods are then compared and discussed in this paper.

Original language	English
Title of host publication	Proceedings of 2nd International Conference on Intelligent Computing and Applications, ICICA 2015
Publisher	Springer Verlag
Pages	475-481
Number of pages	7
ISBN (Print)	9789811016448
DOIs	https://doi.org/10.1007/978-981-10-1645-5_40
Publication status	Published - 01-01-2017
Externally published	Yes
Event	2nd International Conference on Intelligent Computing and Applications, ICICA 2015 - Chennai, India Duration: 05-02-2016 → 06-02-2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	467
ISSN (Print)	2194-5357

Conference

Conference	2nd International Conference on Intelligent Computing and Applications, ICICA 2015
Country/Territory	India
City	Chennai
Period	05-02-16 → 06-02-16

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-981-10-1645-5_40

Cite this

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title = "Advance control strategies for a conical process",

abstract = "In this paper a Dynamic Matric Control (DMC) and Receding Horizon Control (RHC) are designed for unconstrained SISO process. These MPC variants are then simulated for a conical tank system to control the level. A first order process with dead time model for conical tank is used for simulation. The response obtained for both methods are then compared and discussed in this paper.",

author = "{Praveen Kumar}, Parashivappagol and Thirunavukkarasu Indira",

year = "2017",

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doi = "10.1007/978-981-10-1645-5_40",

language = "English",

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pages = "475--481",

booktitle = "Proceedings of 2nd International Conference on Intelligent Computing and Applications, ICICA 2015",

address = "Germany",

note = "2nd International Conference on Intelligent Computing and Applications, ICICA 2015 ; Conference date: 05-02-2016 Through 06-02-2016",

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Praveen Kumar, P & Indira, T 2017, Advance control strategies for a conical process. in Proceedings of 2nd International Conference on Intelligent Computing and Applications, ICICA 2015. Advances in Intelligent Systems and Computing, vol. 467, Springer Verlag, pp. 475-481, 2nd International Conference on Intelligent Computing and Applications, ICICA 2015, Chennai, India, 05-02-16. https://doi.org/10.1007/978-981-10-1645-5_40

Advance control strategies for a conical process. / Praveen Kumar, Parashivappagol; Indira, Thirunavukkarasu.
Proceedings of 2nd International Conference on Intelligent Computing and Applications, ICICA 2015. Springer Verlag, 2017. p. 475-481 (Advances in Intelligent Systems and Computing; Vol. 467).

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

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AB - In this paper a Dynamic Matric Control (DMC) and Receding Horizon Control (RHC) are designed for unconstrained SISO process. These MPC variants are then simulated for a conical tank system to control the level. A first order process with dead time model for conical tank is used for simulation. The response obtained for both methods are then compared and discussed in this paper.

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Advance control strategies for a conical process

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