Design and Tuning of Standard Additive Model Based Fuzzy PID Controllers for Multivariable Process Systems

TitleDesign and Tuning of Standard Additive Model Based Fuzzy PID Controllers for Multivariable Process Systems
Publication TypeJournal Article
Year of Publication2008
AuthorsHarinath, E., and G. K. I. Mann
JournalSystems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Volume38
Pagination667 -674
Date Publishedjun.
ISSN1083-4419
Keywordsclosed loop systems, closed-loop stability, control system synthesis, fuzzy control, fuzzy inference, fuzzy PID controller, fuzzy reasoning, MIMO systems, multi input-multi output process, multivariable process system, stability, standard additive model design, three-term control, tuning, two-level tuning scheme
Abstract

This paper describes a design and two-level tuning method for fuzzy proportional-integral derivative (FPID) controllers for a multivariable process where the fuzzy inference uses the inference of standard additive model. The proposed method can be used for any multiinput-multioutput process and guarantees closed-loop stability. In the two-level tuning scheme, the tuning follows two steps: low-level tuning followed by high-level tuning. The low-level tuning adjusts apparent linear gains, whereas the high-level tuning changes the nonlinearity in the normalized fuzzy output. In this paper, two types of FPID configurations are considered, and their performances are evaluated by using a real-time multizone temperature control problem having a 3times3 process system.

URLhttp://dx.doi.org/10.1109/TSMCB.2008.919232
DOI10.1109/TSMCB.2008.919232

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