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Elsevier

Flexible Manipulators

Modeling, Analysis and Optimum Design

  • 1 Edición - 16 de abril de 2012
  • Última edición
  • Autores: Yanqing Gao, Fei-Yue Wang, Zhi-Quan Zhao
  • Idioma: Inglés

The Intelligent Systems Series comprises titles that present state-of-the-art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies,… Leer más

Descripción

The Intelligent Systems Series comprises titles that present state-of-the-art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.

Flexible manipulators play a critical role in applications in a diverse range of fields, such as construction automation, environmental applications, and space engineering. Due to the complexity of the link deformation and dynamics, the research effort on accurate modeling and high performance control of flexible manipulators has increased dramatically in recent years. This book presents analysis, data and insights that will of particular use for researchers and engineers working on the optimization and control of robotic manipulators and automation systems.

Puntos claves

  • Government and industry groups have specifically stressed the importance of innovation in robotics, manufacturing automation, and control systems for maintaining innovation and high-value-added manufacturing
  • Discusses the latest research on the quantitative effects of size, shape, mass distribution, tip load, on the dynamics and operational performance of flexible manipulators
  • Presents unique analyses critical to the effective modeling and optimization of manipulators: hard to find data unavailable elsewhere

De interès para

Electrical and Electronic Engineers; Mechanical Engineers; Computer Engineers; Intelligent Systems specialists

Índice

  • Preface
  • Chapter 1. Introduction
    • 1.1 Background and Problem Statement
    • 1.2 Motivations
    • 1.3 Organization of the Book
    • REFERENCES
  • Chapter 2. Past and Recent Works
    • 2.1 Earlier Research on Flexible Manipulators
    • 2.2 Recent Work on Flexible Manipulators
    • REFERENCES
  • Chapter 3. Modeling of Flexible Manipulators
    • 3.1 Introduction
    • 3.2 Problem Description and Energy Calculations
    • 3.3 Derivation of Equations of Motion
    • 3.4 Linearization of the Beam Dynamic Models
    • 3.5 Finite-Dimensional Modeling of Flexible Manipulators
    • REFERENCES
  • Chapter 4. Analysis of Flexible Manipulators
    • 4.1 Introduction
    • 4.2 Dynamic Analysis of Vibrations of Flexible Manipulators Considering Effects of Rotary Inertia, Shear Deformation, and Tip Load
    • 4.3 Passivity, Control, and Stability Analysis
    • REFERENCES
  • Chapter 5. Optimization of Flexible Manipulators
    • 5.1 Optimum Design of Flexible Beams with a New Iteration Approach
    • 5.2 Geometrically Constrained and Composite Material Designs
    • 5.3 Optimum Shape Design of Flexible Manipulators with Tip Loads
    • 5.4 Optimum Shape Construction with Total Weight Constraint
    • 5.5 Minimum-Weight Design of Flexible Manipulators for a Specified Fundamental Frequency
    • 5.6 Optimum Design of Flexible Manipulators: The Segmentized Solution
    • REFERENCES
  • Chapter 6. Mechatronic Design of Flexible Manipulators
    • 6.1 Introduction
    • 6.2 Overview of Mechatronics Design
    • 6.3 Mechatronic Design of Flexible Manipulators Based on LQR with IHR Programming
    • 6.4 Mechatronic Design of Flexible Manipulators-Based on H∞ with IHR Algorithm
    • 6.5 Closed-Loop Design of Flexible Robotic Links
    • 6.6 Concurrent Design
    • 6.7 Concurrent Design of a Single-Link Flexible Manipulator Based on PID Controller
    • REFERENCES
  • Chapter 7. Conclusions and Future Research
  • Index

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 16 de abril de 2012
  • Idioma: Inglés

Sobre los autores

YG

Yanqing Gao

Afiliaciones y experiencia
Research scientist at University of Arizona, USA.

FW

Fei-Yue Wang

Prof. Fei-Yue Wang is the State Specially Appointed Expert and the Founding Director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, in China. He is also a research Professor at the DeSci Center of Parallel Intelligence, Obuda University, Budapest, Hungary. His research focuses on intelligent control, social computing, and knowledge automation, with a particular emphasis on energy and complex systems. He pioneered the concepts of Social Energy and the Parallel Energy initiative, aimed at integrating social intelligence into energy management and optimization. Additionally, his research explores methods and applications for parallel intelligence, social computing, and knowledge automation. He is a Fellow of INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China, numerous best papers awards from IEEE Transactions, and became an Outstanding Scientist of ACM for his work in intelligent control and social computing. In 2024, he received IEEE CRFID Emily Sopensky Meritorious Service Award, IEEE SMC Lotfi A. Zadeh Pioneer Award, and 2025 IEEE Transportation Technologies Award. In 2025, he received IEEE ITSS Lifetime Achievement Award. Additionally, in 2021, he was selected as the IFAC Pavel J. Nowacki Distinguished Lecturer.

Afiliaciones y experiencia
Institute of Automation, Chinese Academy of Sciences, Beijing, China

ZZ

Zhi-Quan Zhao

Afiliaciones y experiencia
Assistant Professor at Wuhan Textile University, China.

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