Multiobjective robust H2/H∞ fuzzy tracking control for thermal system of power plant

•A multiobjective robust H2/H∞ fuzzy tracking controller design is proposed for nonlinear system.•The multiobjective H2/H∞ fuzzy tracking controller can minimize the H2 and H∞ control performance indices simultaneously.•Linear matrix inequality-based multiobjective evolution algorithm is studied.•Fu...

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Bibliographic Details
Published in:Journal of process control Vol. 70; pp. 47 - 64
Main Authors: Liu, Miao, Dong, Ze
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.10.2018
Subjects:
Fuzzy tracking control
H2/H
LMI
Multiobjective problem
State observer
Superheat temperature system
Multiobjective problem
LMI
H2/H
Fuzzy tracking control
State observer
Superheat temperature system
ISSN:0959-1524, 1873-2771
Online Access:Get full text
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Summary:•A multiobjective robust H2/H∞ fuzzy tracking controller design is proposed for nonlinear system.•The multiobjective H2/H∞ fuzzy tracking controller can minimize the H2 and H∞ control performance indices simultaneously.•Linear matrix inequality-based multiobjective evolution algorithm is studied.•Fuzzy H2/H∞ robust tracking control with state observer algorithm is studied. In this study, we introduce a multiobjective robust fuzzy H2/H∞ tracking control scheme for nonlinear dynamic superheat temperature system of an ultra-supercritical power plant to guarantee the optimal H2 and H∞ reference tracking performance simultaneously. A Takagi–Sugeno fuzzy model is first employed to approximate the nonlinear dynamics of the ultra-supercritical superheat temperature system. Subsequently, the H2/H∞ tracking control design problem is formulated as a multiobjective problem to simultaneously minimize the H2 control performance index and H∞ control performance index for the fuzzy system. Then, an indirect method is proposed to solve this multiobjective problem for the multiobjective H2/H∞ fuzzy tracking control design. Next, a linear matrix inequality-based multiobjective evolution algorithm is developed based on a non-dominating sorting scheme to efficiently search the set of Pareto optimal solutions for this multiobjective problem, from which the engineers can select a set of design parameters according to the system performance preferences. In order to improve the applicability to engineering projects, the state observer and error integrator are adopted in the control strategy. Finally, a simulation example of an ultra-supercritical superheat temperature system is presented to illustrate the design procedure and to confirm the robust and optimal tracking performance of the proposed method.
ISSN:0959-1524
1873-2771
DOI:10.1016/j.jprocont.2018.08.004