Robust Control-Oriented Linear Fractional Transform Modelling [electronic resource] : Applications for the µ-Synthesis Based H∞ Control / by Tamal Roy, Ranjit Kumar Barai.

Por: Roy, Tamal [author.]Colaborador(es): Barai, Ranjit Kumar [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Systems, Decision and Control ; 453Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XI, 161 p. 96 illus., 95 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811974625Tema(s): Control engineering | Mechatronics | Robotics | Automation | Control and Systems Theory | Mechatronics | Control, Robotics, AutomationFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8312 | 003 Clasificación LoC:TJ212-225Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.
En: Springer Nature eBookResumen: This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
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Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.

This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.

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