H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; fuzzy tracking control for boiler-turbine systems

Wu, Jie; Krug, Matthias; Nguang, Sing Kiong; Shen, Jiong; Li, Yi Guo

doi:10.1109/icca.2009.5410175

Cited by 6 publications

(12 citation statements)

References 18 publications

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“…The TS fuzzy models of the boilerturbine unit used in this work are derived from [49,52,53]. A guaranteed cost controller was developed in [49], and H∞ robust controllers were developed in [52,53]. The control laws were developed based on state feedback in [49,52,53].…”

Section: Lemma 1 ([45]mentioning

confidence: 99%

A nonlinear state‐feedback state‐feedforward tracking control strategy for a boiler‐turbine unit

Wang

2019

Asian Journal of Control

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A boiler‐turbine unit is a primary module for coal‐fired power plants, and an effective automatic control system is needed for the boiler‐turbine unit to track the load changes with the drum water level kept within an acceptable range. The aim of this paper is to develop a nonlinear tracking controller for the Bell‐Åström boiler‐turbine unit. A Takagi‐Sugeno fuzzy control system is introduced for the nonlinear modeling of the Bell‐Åström boiler‐turbine unit. Based on the Takagi‐Sugeno fuzzy models, a nonlinear tracking controller is developed, and the proposed control law is comprised of a state‐feedforward term and a state‐feedback term. The stability of the closed‐loop control system is analyzed on the basis of Lyapunov stability theory via the linear matrix inequality approach and Schur complement. Moreover, model uncertainties are also considered, and it is proved that with the proposed control law the tracking error converges to zero. To assess the performance of the proposed nonlinear state‐feedback state‐feedforward control strategy, a nonlinear model predictive control strategy and a linear strategy are presented as comparisons. The effectiveness and the advantages of the proposed nonlinear state‐feedback state‐feedforward control strategy are demonstrated by simulations.

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Section: Lemma 1 ([45]mentioning

confidence: 99%

A nonlinear state‐feedback state‐feedforward tracking control strategy for a boiler‐turbine unit

Wang

2019

Asian Journal of Control

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“…Furthermore, an H ∞ fuzzy state-feedback controller is implemented once the control system meets a certain switching principle. This controller has shown good results in the application to the boiler-turbine unit [8]. The control setup is depicted in Fig.…”

Section: Constrained Boiler-turbine Modelmentioning

confidence: 99%

“…One of the drawbacks is the complicated adaptive scheme. In [8], an H ∞ fuzzy control is presented which exploits the form of the system nonlinearities. It shows good tracking behavior for large changes in the reference signal as is used here to stabilize the plant once the tracking error is sufficiently small.…”

Section: Introductionmentioning

confidence: 99%

GA-based nonlinear predictive switching control for a boiler-turbine system

Shen

Krug

et al. 2011

J. Control Theory Appl.

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In this paper, the problem of designing a controller for a highly coupled constrained nonlinear boilerturbine system is addressed with a predictive controller. First, a nonlinear predictive control is implemented by genetic algorithm. Second, to guarantee fast output stabilization, an H-infinity fuzzy state-feedback tracking control is applied with a designed switching principle. The success of such a control structure is based on taking advantage of the optimal input sequence derived from the nonlinear predictive control based on artificial intelligent while ensuring a fast decay of the steady state error. Simulation results of the proposed design are given to illustrate its effectiveness and compared to other control schemes.

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“…After that the boiler-turbine's nonlinear model was studied widely in many art icles and was undergone a number of amends to provide a better description of system [2,3]. In o rder to design a controller some researchers used nonlinear form of system's equations [5,6,10 ] and in other works the linear fo rm o f the system was used [4,[7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Th is system is strongly coupled and is subject to various constraints on both inputs and outputs. In literatures that used the linearized form of boiler-turbine system, they obtained a linearized model using a truncated Ty lo r series expans io n of n on lin ear equations around operating points [4,[7][8][9]. Linearization around operating points provides a relatively accurate description about system behaviour around these points, however for using of this method we should have nominal states' and inputs' values at operating points which are not readily availab le.…”

Section: Introductionmentioning

confidence: 99%

MLD Model of Boiler-Turbine System Based on PWA Linearization Approach

Sarailoo¹,

Rezaie²,

Rafiee³

2012

CONTROL

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In this paper we consider boiler-turb ine's nonlinear dynamics and linearize the nonlinear parts based on the piecewise affine method in order to obtain a mixed logical dynamical model of the system. By using piecewise affine approach for linearization of the system's nonlinear equations, the obtained linearized model switches between different modes based on its parameters, so acquired piecewise affine model can be categorized in the switc hing hybrid system class. We model the linearized boiler-turbine system in a mixed logical dynamical model of the hybrid systems using hybrid system's description language and hybrid toolbox. M ixed logical dynamical model describes system by two linear equ ations and one linear inequality with a reasonable accuracy and considering the constraints in the system. We provide a co mparison between the acquired mixed logical dynamical model using piecewise affine linearizat ion method and the actual boiler-turbine system through simulat ion and show the efficiency of the mixed logical dynamical model to describe the Boiler-Turbine system.

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H<inf>∞</inf> fuzzy tracking control for boiler-turbine systems

Cited by 6 publications

References 18 publications

A nonlinear state‐feedback state‐feedforward tracking control strategy for a boiler‐turbine unit

A nonlinear state‐feedback state‐feedforward tracking control strategy for a boiler‐turbine unit

GA-based nonlinear predictive switching control for a boiler-turbine system

MLD Model of Boiler-Turbine System Based on PWA Linearization Approach

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