Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems

Hejia Gao, Wei He, Changyin Sun

• Publisher: Wiley-IEEE Press
• Year: 2024
• Print ISBN: 9781394255276
• eBook ISBN: 9781394255290
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Aeronautic & Astronautic Engineering
• Index: Technology & Engineering

Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis

Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults.

Expanding on its theoretical deliberations, the book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms.

The book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues, along with modeling and control methods of three typical flexible systems. Other topics include:

• Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, Lagrange's equation method, and Lyapunov's stability theorem
• Dynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraint
• Unknown time-varying disturbances, such as earthquakes and strong winds, and how to suppress them and use MATLAB and Quanser to verify effectiveness of a proposed control
• Adaptive vibration control methods for a single-floor building-like structure equipped with an active mass damper (AMD)

Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems is an invaluable resource for researchers and engineers seeking high-efficiency modeling methods and neural-network-based control solutions for flexible systems, along with industry engineers and researchers who are interested in control theory and applications and students in related programs of study.

Table of contents

• Cover
• Title Page
• Copyright
• Contents
• About the Authors
• Preface
• Acknowledgments
• Acronyms
• Chapter 1 Introduction
• Chapter 2 Mathematical Preliminaries
• Chapter 3 Fuzzy Neural Network Control of the Single‐Link Flexible Robotic Manipulator
• Chapter 4 High‐Gain Observer‐Based Neural Network Control of the Two‐Link Flexible Robotic Manipulator
• Chapter 5 Robust Adaptive Vibration Control for a String with Time‐Varying Output Constraint
• Chapter 6 Neural Network Vibration Control of a Stand‐Alone Tall Building‐Like Structure with an Eccentric Load
• Chapter 7 Adaptive Vibration Control of a Flexible Structure Based on Hybrid Learning Controlled Active Mass Damping
• Chapter 8 Reinforcement Learning Control of a Single‐Floor Building‐Like Structure with Active Mass Damper
• Chapter 9 Disturbance Observer‐Based Neural Network Control of a Flexible Flapping‐Wing System
• Chapter 10 Adaptive Finite‐Time Control of a Bionic Flexible Flapping‐Wing Aircraft with Actuator Failures
• Chapter 11 Adaptive Vibration Control for Two‐Stage Bionic Flapping Wings Based on Neural Network Algorithm
• Chapter 12 Boundary Vibration Control of a Floating Wind Turbine System with Mooring Lines
• Chapter 13 Conclusions
• References
• Index
• EULA