内容简介:
This book discussed common methods of vibration control technology and recent progress, which is divided into eight chapters. The first chapter introduced the development status and the present key technologies of piezoelectric smart structure vibration control. The second chapter focused on Piezoelectric Smart Structure Dynanucs using traveling wave method. The third chapter introduced the location optimized problems of piezoelectric sensor/actuator for Piezoelectric Intelligent Structure. The fourth chapter described the principle of adaptive filter and LMS algorithm. The fifth chapter studied fiher-X adaptive control algorithm for active vibration control. Chapter six presented the Multiple Input Multiple Output Random Disturbance Control. Chapter seven introduced optimal control strategy for Multi-Input Muhi-Output ( MIMO) systems. Chapter eight presented the building of intelligent structural vibration control platform, experiments were analyzed for structural vibration control methods studied in this book.
The book is referred to vast scientific and technological personnel working on control science and engineering, aerospace engineering, manufacturing and automation, materials science and engineering, it can be used as a study book for the graduate and senior undergraduate in the above profession.
目录:
Foreword
Chapter 1 Introduction of Vibration Control for Smart Structure
1.1 Introduction
1.2 Research Status of Smart Material Structure
1.3 Advances of Active Vibration in Intelligent Structure
1.4 Overview of Piezoelectric Smart Structure Active Damping
1.5 Progress and Status of Adaptive Feedforward Control before Filtering
Chapter 2 Dynanuc Analysis of Piezoelectric Smart Structure
2.1 Overview of dynamic Modeling of Piezoelectric Smart Structures
2.2 Piezoelectric Actuation Principle
2.3 Piezoelectric Intelligent Beam Dynamics
2.4 Kinetic Analysis of Piezoelectric Intelligent Frame Structure
2.5 Summary
Chapter 3 Optimal Configuration of Piezoelectric Actuator and Sensor
3.1 Introduction
3.2 The Application of Genetic Algorithm in Optimal Placement of Sensors and Actuators
3.3 Optimization of the Objective Function
3.4 Sensor Actuator Optimal Configuration
3.5 Optimal Configuration of Piezoelectric Sensor Actuator
Chapter 4 Adaptive Filter Control Strategies
4.1 Feedback Control Strategies
4.2 Feedforward Control Strategies
4.3 The Basic Principle of Adaptive Filter
4.4 Least Mean Square Algorithm
4.5 Discuss the Convergence Condition
Chapter 5 Filter-XLMS Adaptive Filter Control Algorithm
5.1 FXLMS Algorithm Overview
5.2 FXLMS Algorithm Flow Analysis
5.3 Simulation Experiment and Analysis
Chapter 6 Multiple Input Multiple Output Random Disturbance Control
6.1 Optimal Control of Random Disturbance
6.2 Adaptive Control of Random Disturbance
6.3 Fast Exact Filtered Reference Approach
6.4 A Short Comparison of Adaptive Schemas
Chapter 7 Optimal Control for Flexible Structure
7.1 Introduction
7.2 Quadraticlntegral
7.3 Deterministic LQR
7.4 Stochastic Response to A White Noise
7.5 Stochastic LQR
7.6 Asymptotic Behavior of the Closed-Loop
7.7 Prescribed Degree of Stability
7.8 Gain and Phase Margins of the LQR
7.9 Full State Observer7.10 Kalman-Bucy Filter (KBF)
7.11 Linear Quadratic Caussian (LQG)
7.12 Duality
7.13 Spillover
7.14 Loop Transfer Recovery (LTR)
7.15 Integral Control with State Feedback
7.16 Frequency Shaping
Chapter 8 Construction of Testing Platform and Experimental Analysis
8.1 Large Flexible Plate Tectonic Model and Finite Element Analysis
8.2 Arrangement of Sensor/Drive Network
8.3 Adaptive Active Vibration Control System
8.4 Numerical Simulation and Experimental Results
8.5 Experiment Validation and Analysis
References
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