Active vibration control (AVC) methodology is presented by the author in this paper using bonded three self-sensing magnetic transducers for a flexible plate structure. Multi-modes multi-input-multi-output (MIMO) positive position feedback (PPF) controller is tested and verified for vibration suppression through simulation and experiment implement. Based on genetic algorithm (GA) searching, optimal parameters of the controllers can be obtained according to the minimization criterion which is the solution to the H_∞ norm of the whole closed-loop system.
Inhaltsverzeichnis (Table of Contents)
- ABSTRACT
- 1. Introduction
- 2. Model of Flexible Plate Structure
- 2.1 Experimental Model
- 2.2 Analytical Model
- 2.3 Modal Analysis
- 2.4 Numerical Model
- 2.5 Simulation Model of The Plate
- 3. Multi-modes MIMO PPF Controller
- 3.1 PPF Controller
- 3.2. Multi-modes MIMO PPF Controller Parameter Selection
- 4. Simulation
- 5. Experiment
- 6. Summary
- Acknowledgement
- References
- Active Vibration Control (AVC) for Flexible Plate Structures
- Multi-modes MIMO Positive Position Feedback (PPF) Controller
- Genetic Algorithm (GA) Optimization for Controller Parameters
- Vibration Suppression through Simulation and Experiment
- H∞ Norm Minimization for Closed-Loop System Performance
- 1. Introduction: This chapter introduces the problem of unwanted vibration in flexible structures and its impact on performance and efficiency. It reviews existing modal control methods, highlighting their advantages and limitations, particularly in terms of sensor/actuator requirements, robustness, and spillover effects. The paper focuses on the PPF controller, highlighting its benefits and previous applications in vibration suppression.
- 2. Model of Flexible Plate Structure: This chapter describes the experimental, analytical, and numerical models used to study the flexible plate structure. It includes details on the experimental setup, the mechanical and electrical models of the transducers, and the derivation of the governing partial differential equation (PDE) for transverse vibration. The chapter also presents the modal analysis, which identifies the dominant vibration modes of the plate.
- 3. Multi-modes MIMO PPF Controller: This chapter focuses on the design and implementation of the MIMO PPF controller. It explains the principles of PPF control and the selection of controller parameters using the GA optimization method. The chapter outlines the optimization criteria based on the H∞ norm minimization, aiming to achieve robust and efficient vibration suppression.
- 4. Simulation: This chapter presents the simulation results of the proposed AVC system. It evaluates the effectiveness of the MIMO PPF controller in suppressing vibration across various modes. The chapter analyzes the controller's performance in terms of vibration reduction, stability, and robustness.
- 5. Experiment: This chapter describes the experimental validation of the MIMO PPF controller. It details the experimental setup, data acquisition, and analysis. The chapter compares the experimental results with the simulation results to verify the effectiveness of the proposed AVC methodology.
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper presents an active vibration control (AVC) methodology for a flexible plate structure, employing three self-sensing magnetic transducers. The study investigates the effectiveness of a multi-modes multi-input-multi-output (MIMO) positive position feedback (PPF) controller for vibration suppression through both simulation and experimental implementation. Optimal controller parameters are determined using a genetic algorithm (GA) based on a minimization criterion that addresses the H∞ norm of the closed-loop system.
Zusammenfassung der Kapitel (Chapter Summaries)
Schlüsselwörter (Keywords)
This research focuses on active vibration control using a multi-input-multi-output (MIMO) positive position feedback (PPF) controller for a flexible plate structure. Key themes include genetic algorithm (GA) optimization, H∞ norm minimization, and experimental validation of the controller's effectiveness in suppressing vibration.
- Quote paper
- Zhonghui Wu (Author), 2015, Optimized Multi-modes MIMO Positive Position Feedback Active Vibration for Plate Structure, Munich, GRIN Verlag, https://www.grin.com/document/334979
