This book discussed common methods of vibration control technology and recent progress, which is dividedinto eight chapters. The first chapter introduced the development status and the present key technologies ofpiezoelectric smart structure vibration control. The second chapter focused on Piezoelectric Smart StructureDynamics using traveling wave method. The third chapter introduced the location optimized problems ofpiezoelectric sensor/actuator for Piezoelectric Intelligent Structure. The fourth chapter described the principle ofadaptive filter and LMS algorithm. The fifth chapter studied fiher-X adaptive control algorithm for active vibrationcontrol. Chapter six presented the Multiple Input Multiple Output Random Disturbance Control. Chapter sevenintroduced optimal control strategy for Multi-Input Multi-Output (MIMO) systems. Chapter eight presented thebuilding of intelligent structural vibration control platform, experiments were analyzed for structural vibrationcontrol methods studied in this book. 吕宽州编*的《智能结构振动主动控制(英文版)》is referred to vast scientific and technological personnel working on control science andengineering, aerospace engineering, manufacturing and automation, materials science and engineering, it can beused as a study book for the graduate and senior undergraduate in the above profession.
【目录】
Foreword
Chapter 1Introduction of Vibration Control for Smart Structure
1.1 Introduction
1.2 Research Status of Smart MaterialStructure
1.3 Advances of Active Vibration inIntelligent Structure
1.4 Overview of Piezoelectric Smart StructureActive Damping
1.5 Progress and Status of AdaptiveFeedforward Control before Filtering
Chapter 2Dynamic Analysis of Piezoelectric Smart Structure
2.1 Overview of dynamic Modeling ofPiezoelectric Smart Structures
2.2 Piezoelectric Actuation Principle
2.3 Piezoelectric Intelligent Beam Dynamics
2.4 Kinetic Analysis of PiezoelectricIntelligent Frame Structure
2.5 Summary
Chapter 3Optimal Configuration of Piezoelectric Actuator and Sensor
3.1 Introduction
3.2 The Application of Genetic Algorithm inOptimal Placement of Sensors and Actuators
3.3 Optimization of the Objective Function
3.4 Sensor Actuator Optimal Configuration
3.5 Optimal Configuration of PiezoelectricSensor Actuator
Chapter AdaptiveFilter 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 5Filter-XLMS Adaptive Filter Control Algorithm
5.1 FXLMS Algorithm Overview
5.2 FXLMS Algorithm Flow Analysis
5.3 Simulation Experiment and Analysis
Chapter 6Multiple 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 7Optimal Control for Flexible Structure
7.1 Introduction
7.2 Quadratic Integral
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 Observer
7.10 Kalman-Bucy Filter (KBF)
7.11 Linear Quadratic Gaussian (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 8Construction of Testing Platform and Experimental Analysis
8.1 Large Flexible Plate Tectonic Model andFinite Element Analysis
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