Background on Gain-Scheduling

Rotondo, Damiano

doi:10.1007/978-3-319-62902-5_2

Cited by 4 publications

(3 citation statements)

References 127 publications

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“…In the last years, the study of fault detection and isolation (FDI) methods has increased substantially, this is due to the fact of the increasing industrial demand of performance, safety and reliability . Among the different approaches to design FDI systems, the FDI based on state observers has proved to be one of the best trade‐offs between performance and applicability . A wide range of FDI methods based on observers can be found in the literature, for instance, by considering a Kalman filter ,

H_{\infty}

filter , FDI and fault tolerant control with time‐delay , mixed

H_{\infty} false/ H_{-}

, unknown input observers , sliding mode , fault detection and fault estimation based on descriptor systems , among others.…”

Section: Introductionmentioning

confidence: 99%

“…Note that there exists an equivalence between TS and linear parameter varying systems (LPV), due to the fact that, LPV and TS models are both obtained from the nonlinear‐sector transformation, which is commonly called as a quasi‐LPV (qLPV) system . Then, the scheduling variables mentioned in qLPV systems are analogous to the term premise variables in TS systems . In the literature, the premise variables are classified into two types: (i) the measurable premise variables that depend mainly on the inputs or outputs of the system and on the non‐stationary exogenous parameters ; and (ii) the unmeasurable premise variables that depends on unmeasurable states, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…The design of fault diagnosis systems based on TS observers has been receiving considerable attention as can be consulted in the recent book . Nonetheless, most of the works consider the case of measurable premise variables, moreover, it is considered that such variable is measured with high precision.…”

Section: Introductionmentioning

confidence: 99%

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Sensor Fault Diagnosis Based on a Sliding Mode and Unknown Input Observer for Takagi‐Sugeno Systems with Uncertain Premise Variables

Gómez-Peñate

Valencia‐Palomo

López‐Estrada

et al. 2018

Asian Journal of Control

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This paper presents the design of a  ∞ sliding mode and an unknown input observer for Takagi-Sugeno (TS) systems. Contrary to the common approaches reported in the literature, which considers exact premise variables, this work deals with the problem of inexact measurements of the premise variables. The proposed method is based on a  ∞ criteria to be robust to disturbances, sensor noise and uncertainty on the premise variables. The observer convergence and stability are established by considering a quadratic Lyapunov function, which relies on a set of Linear Matrix Inequalities. Then, a dedicated observer scheme is considered to detect and isolate sensor faults. Finally, the performance and applicability of the proposed approach are illustrated through numerical experiments on a nonlinear model that represents the lateral dynamics of an electric vehicle.

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H_{\infty}

filter , FDI and fault tolerant control with time‐delay , mixed

H_{\infty} false/ H_{-}

, unknown input observers , sliding mode , fault detection and fault estimation based on descriptor systems , among others.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensor Fault Diagnosis Based on a Sliding Mode and Unknown Input Observer for Takagi‐Sugeno Systems with Uncertain Premise Variables

Gómez-Peñate

Valencia‐Palomo

López‐Estrada

et al. 2018

Asian Journal of Control

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Transient Open‐Closed Loop Experimental Validation of a Nonlinear Two‐Phase Flow Distributed System

Vega

Carvalho

Oliveira

et al. 2023

Macro Reaction Engineering

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The oil well drilling process is a nonlinear system with transient nature. Conventional drilling is unable to assure safe and cost‐effective operation for fractured, cavernous, and highly permeable carbonate reservoirs, which contain the largest oil reserves worldwide. Concerning drilling technologies, Pressurized Mud Cap Drilling (PMCD) is suitable for the challenging scenario previously mentioned. According to PMCD technique, a sacrificial fluid is injected through the drill string and a light annular mud is pumped in countercurrent through the annulus region (bullheading), without surface return, forcing gas and drilled cuttings back to formation. A two‐phase flow distributed model (Drift Flux Model – DFM) is developed to properly describe the complex nature of the system. Also, an experimental facility, presenting field similarity, is employed to validate the open – closed loop schemes. The main objective of the controller (control reconfiguration with gain scheduling) is to regulate annulus pressure, handling gas kick, drilling fluid losses and inverse response dynamics. Besides, gas injection, migration and bullheading are studied. The simulations, validated through experimental data, highlight the methodology usefulness for field applications.

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A General Optimization Approach to Enlarge the Region of Attraction of Saturating Discrete-Time Delayed Systems

Silva,

Leite,

Silva

2022

Controlo 2022

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Background on Gain-Scheduling

Cited by 4 publications

References 127 publications

Sensor Fault Diagnosis Based on a Sliding Mode and Unknown Input Observer for Takagi‐Sugeno Systems with Uncertain Premise Variables

Sensor Fault Diagnosis Based on a Sliding Mode and Unknown Input Observer for Takagi‐Sugeno Systems with Uncertain Premise Variables

Transient Open‐Closed Loop Experimental Validation of a Nonlinear Two‐Phase Flow Distributed System

A General Optimization Approach to Enlarge the Region of Attraction of Saturating Discrete-Time Delayed Systems

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