Distributed Estimation with Decentralized Control for Quadruple-Tank Process

Authors

  • Moh Kamalul Wafi  Department of Engineering Physics, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia
  • Bambang L. Widjiantoro  Associate Professor, Department of Engineering Physics, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia

DOI:

https://doi.org/10.32628/IJSRST229167

Keywords:

Decentralized Control, Distributed Estimation, Quadruple-Tank Process, Sensor Networks

Abstract

This paper proposes the design of quadruple-tank process due to the unique multivariable MIMO system under minimum and non-minimum scenario with respect to the valve ratio. This model is then implemented the distributed estimation algorithm with decentralized control. The inputs are set in divergent gains of pumps while the four-tank process is interconnected so that the stability properties are different, making the usage of decentralized control is reasonable. The number of outputs is designed the same as those of inputs which are also that of distributed Luenberger observer with the continuous linearized dynamical system. This distributed comprises local estimates only in certain output, meaning that it would lead to insufficiency so that the neighbouring links under some network topologies are required in the dynamical system. This concept fortunately works in two different characteristic stability of the tank process regarding estimating the states. This success leads to the further research of the more large-scale dynamic complex system.

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International Journal of Scientific Research in Science and Technology

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Published

2022-02-28

Issue

Volume 9, Issue 1, January-February-2022

Section

Research Articles

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How to Cite

[1]
Moh Kamalul Wafi, Bambang L. Widjiantoro "Distributed Estimation with Decentralized Control for Quadruple-Tank Process" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 1, pp.301-307, January-February-2022. Available at doi : https://doi.org/10.32628/IJSRST229167