Would SISO IMC and SIMC tuning work for MIMO processes?

Khandelwal, S and Aldhandi, S and Detroja, Ketan P (2017) Would SISO IMC and SIMC tuning work for MIMO processes? In: Indian Control Conference, ICC, 4-6 January, 2017, Indian Institute of Technology (IIT) Guwahati Guwahati; India.

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Most industrial processes being MIMO have multivariable interactions, which makes controller design a challenging task. As one input can potentially affect all outputs, a controller action in one loop could destabilize other loops. In this paper we explore the possibility of designing a decentralized PI controller for a multivariable process using SISO tuning rules. The objective is to identify if SISO IMC tuning rules would work for MIMO processes or not. It was found that under certain conditions, the SISO design is also applicable for multivariable systems. The tuning methods considered here are the internal model control (IMC) and Skogestad/ Simple IMC (SIMC). The tuning rules are simple, model based, they easily relate model parameters to controller parameters and work reasonably well for a wide range of processes. Simulations are carried out and various performance indices have been evaluated and compared against other methods to demonstrate the effectiveness of the proposed (IMC and SIMC) tuning methods for multivariable systems

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IITH Creators:
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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Controllers; Model predictive control; Multivariable systems Controller designs; Controller parameter; Industrial processs; Internal model control; Model parameters; Multi variables; Multivariable process; Performance indices
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 11 Apr 2017 06:22
Last Modified: 05 Sep 2017 06:39
URI: http://raiith.iith.ac.in/id/eprint/3158
Publisher URL: https://doi.org/10.1109/INDIANCC.2017.7846474
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