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

Authors:
E. Harinath;G. K.I. Mann
Affiliations:
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2008

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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.