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Active disturbance rejection control of dynamic systems : a flatness based approach

Author: Hebertt Sira-Ramirez; Alberto Luviano-Juárez; Mario Ramírez-Neria; Eric William Zurita-Bustamante
Publisher: Oxford : Butterworth-Heinemann, [2017] ©2017
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach describes the linear control of uncertain nonlinear systems. The net result is a practical controller design that is simple and surprisingly robust, one that also guarantees convergence to small neighborhoods of desired equilibria or tracking errors that are as close to zero as desired. This methodology differs from current robust  Read more...
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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)967569711
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hebertt Sira-Ramirez; Alberto Luviano-Juárez; Mario Ramírez-Neria; Eric William Zurita-Bustamante
ISBN: 9780128118955 0128118954
OCLC Number: 987438959
Description: 1 online resource.
Contents: 1. Introduction 1.1 A Brief Historical Perspective on Active Disturbance Rejection Control References2. Generalities of ADRC 2.1 Introduction 2.2 Main Theoretical Issues 2.3 The Need for Flatness-Based ADRC Designs 2.4 Ultralocal Disturbance Models References3. Merging Flatness, GPI Observation and GPI Control with ADRC 3.1 Introduction 3.2 GPI Extended State Observer Design 3.3 An Observer-Based Approach to GPI Perturbation Rejection 3.4 The Buck Converter 3.5 Example: A Pendulum System 3.6 Two-Link Robot Manipulator 3.7 Nonholonomic Wheeled Car 3.8 Two-Mass Rectilinear Mechanism 3.9 Remarks References4. Extensions of ADRC 4.1 Introduction 4.2 Integral Reconstructors of MIMO Linear Systems 4.3 A Lyapunov Approach for a Class of Nonlinear Multivariable Systems 4.4 Combined Sliding-Mode-ADRC Controllers 4.5 ADRC and Sampled Systems: The Delta Operator Approach 4.6 Control of Time Delay Systems 4.7 Relations With Model-Free Control 4.8 Fractional-Order Systems References5. Case Studies 5.1 Introduction 5.2 A Two-Degree-of-Freedom Robotic Arm 5.3 An Omnidirectional Robot 5.4 A Single-Link Manipulator Driven by a Synchronous Motor 5.5 Nonlinear Pendulum System 5.6 The Thomson Ring 5.7 Trajectory Tracking Control of a Delta Robot 5.8 A Time-Delayed Flywheel System 5.9 Control of Robot Manipulators with Delayed Inputs References6. The Challenging Case of Underactuated Systems 6.1 Introduction 6.2 Controlling the Pendubot via Tangent Linearization 6.3 A Two-Mass Spring System with an Inverted Pendulum 6.4 Double Inverted Pendulum on a Cart 6.5 The Furuta Pendulum 6.6 The Ball-and-Beam System 6.7 Remarks ReferencesA. Differential Flatness A.1 Definition of Flatness A.2 Illustrative Examples A.3 About the Advantages and Disadvantages of Flatness A.4 Differential Flatness and Uncertainty References B. Generalized Proportional Integral Control B.1 Definitions and Generalities B.2 Generalized Proportional Integral Control and Classical Compensation Networks B.3 An Illustrative Application Example B.4 GPI Control for Discrete-Time Systems B.5 A General Result for Multivariable Linear Systems References Index
Responsibility: Hebertt Sira-Ramírez, Alberto Luviano-Juárez, Mario Ramírez-Neria, Eric William Zurita-Bustamante.

Abstract:

Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach describes the linear control of uncertain nonlinear systems. The net result is a practical controller design that is simple and surprisingly robust, one that also guarantees convergence to small neighborhoods of desired equilibria or tracking errors that are as close to zero as desired. This methodology differs from current robust feedback controllers characterized by either complex matrix manipulations, complex parameter adaptation schemes and, in other cases, induced high frequency noises through the classical chattering phenomenon. The approach contains many of the cornerstones, or philosophical features, of Model Free Control and ADRC, while exploiting flatness and GPI control in an efficient manner for linear, nonlinear, mono-variable and multivariable systems, including those exhibiting inputs delays. The book contains successful experimental laboratory case studies of diverse engineering problems, especially those relating to mechanical, electro-mechanical, robotics, mobile robotics and power electronics systems.

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