Survey of gain-scheduling analysis and design

Leith, Douglas J.; Leithead, W.E.

doi:10.1080/002071700411304

Cited by 785 publications

(458 citation statements)

References 51 publications

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“…For more detail how to obtain LPV model for nonlinear system the reader can consult the survey paper [28]. The gain scheduled model of turbogenerator is obtain using the following steps.…”

Section: Linear Parameter Varying Model Of Turbogeneratormentioning

confidence: 99%

Robust decentralized power system controller design: Integrated approach

Veselý

2017

Journal of Electrical Engineering

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A unique approach to the design of gain scheduled controller (GSC) is presented. The proposed design procedure is based on the Bellman-Lyapunov equation, guaranteed cost and robust stability conditions using the parameter dependent quadratic stability approach. The obtained feasible design procedures for robust GSC design are in the form of BMI with guaranteed convex stability conditions. The obtained design results and their properties are illustrated in the simultaneously design of controllers for simple model (6-order) turbogenerator. The results of the obtained design procedure are a PI automatic voltage regulator (AVR) for synchronous generator, a PI governor controller and a power system stabilizer for excitation system. K e y w o r d s: gain scheduled controller, Bellman-Lyapunov equation

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“…For more detail how to obtain LPV model for nonlinear system the reader can consult the survey paper [28]. The gain scheduled model of turbogenerator is obtain using the following steps.…”

Section: Linear Parameter Varying Model Of Turbogeneratormentioning

confidence: 99%

Robust decentralized power system controller design: Integrated approach

Veselý

2017

Journal of Electrical Engineering

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“…[5]. Regarding to LPV systems the first generation of gain scheduling control techniques were developed in the late 1990s [6,7]. In case of state feedback control, the control signal occurs in the following form:…”

Section: Affine Lpv Configurationmentioning

confidence: 99%

“…In gain-scheduling control, which is a natural choice in case of affine LPV system, the optimal gain becomes parameter dependent [6]:…”

Section: Affine Lpv Configurationmentioning

confidence: 99%

Novel LPV-based Control Approach for Nonlinear Physiological Systems

2017

APH

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The current paper introduces a novel controller design approach dealing with the control of affine Linear Parameter Varying (LPV) systems using the abstract mathematical properties of the LPV parameter space and classical state-feedback design. By the designed controller structure the parameter dependent LPV system mimics a given selected reference LTI system reaching given performance specifications originally prescribed for the reference LTI system. Further, the actual feedback gains are calculated by comparison to the reference control gains -thus, realizing a "relative control". The method is demonstrated on given nonlinear biomedical problems with simulation results under MATLAB.

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“…The term u ad was performed in order to vanish fault on the system. The global control law is obtained by interpolating gains of each local controller (Leith and Leithead, 2000) and is defined as:…”

Section: Problem Statementmentioning

confidence: 99%

“…For nonlinear systems, the design of Fault Tolerant controller is far more complicated. Nonlinear systems based on multiple linear models, represents an attractive solution to deal with the control of nonlinear systems (Leith and Leithead, 2000), (Banerjee et al, 1995) or FDI methods as in the chapter nine of (Chen and Patton, 1999) where nonlinear dynamic systems are described by a number of locally linearized models based on the idea of Tagaki-Sugeno fuzzy models or as interpolated multiple linear models (Murray-Smith and Johansen, 1997). Various recent FDI/FTC studies, based on a multiple model method have been developed in order to detect, isolate and estimated an accurate state of a system in presence of faults/failures around an operating point (Maybeck, 1999), (Zhang and Jiang, 2001).…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control Design of Nonlinear Systems Using Lmi Gain Synthesis

Rodrigues

Theilliol

Sauter

2005

IFAC Proceedings Volumes

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To cite this version:Mickael Rodrigues, Didier Theilliol, Dominique Sauter. Fault tolerant control design of nonlinear systems using LMI gain synthesis. Abstract: In this paper, an active Fault Tolerant Control (FTC) strategy is developed to nonlinear systems described by multiple linear models to prevent the system deterioration by the synthesis of adapted controllers. By considering that Fault Detection, Isolation (FDI) and estimation is realized, the synthesis of an appropriate combination of predesigned gains is performed. The main contribution concerns the design of state feedback gains through LMI both in fault-free and faulty cases in order to preserve the system performances. For each separate actuator, a robust pole placement is designed by pole clustering. The effectiveness and performances of the method are illustrated in simulation by considering a nonlinear system: a Three-Tank system.

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Survey of gain-scheduling analysis and design

Cited by 785 publications

References 51 publications

Robust decentralized power system controller design: Integrated approach

Robust decentralized power system controller design: Integrated approach

Novel LPV-based Control Approach for Nonlinear Physiological Systems

Fault Tolerant Control Design of Nonlinear Systems Using Lmi Gain Synthesis

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