Vibration control of a flexible beam with integrated actuators and sensors

被引:60
作者
Manning, WJ [1 ]
Plummer, AR [1 ]
Levesley, MC [1 ]
机构
[1] Univ Leeds, Sch Mech Engn, Leeds LS2 9JT, W Yorkshire, England
关键词
Auto Regressive Moving Average eXogenous inputs (ARMAX) - Diophantine equation;
D O I
10.1088/0964-1726/9/6/325
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The use of system identification to determine linear Auto Regressive Moving Average eXogenous inputs (ARMAX) models for smart structures has been scarcely reported in the literature. However, these models can be used as a basis for a Linear discrete-time controller design. This work presents a smart structure vibration control scheme developed using an ARMAX model of the structure and compares its performance to an empirically designed velocity feedback controller. The smart structure is comprised of piezoceramic (such as PZT) actuators and strain gauge sensors attached to a cantilever beam and interfaced to a PC, which provides the control software platform. System identification is carried out in three phases: data collection, model characterization and parameter estimation. Input-output data are collected by stimulating the piezoactuators with a bipolar square wave signal and monitoring the strain gauge response. The model is characterized with second-order plant dynamics and a least-squares estimation algorithm calculates the model parameters. The controller is designed using pole placement to achieve the desired closed-loop response. The ARMAX model is used to calculate the pole placement controllers by solution of the Diophantine equation for the prescribed closed-loop pole positions. Results show that the pole placement controller can match the performance of a velocity feedback controller and maintain this performance when the sampling rate is greatly reduced.
引用
收藏
页码:932 / 939
页数:8
相关论文
共 10 条
[1]   A state space modeling and control method for multivariable smart structural systems [J].
Butler, R ;
Rao, V .
SMART MATERIALS & STRUCTURES, 1996, 5 (04) :386-399
[2]  
Chan C. W., 1995, Proceedings of the Institution of Mechanical Engineers, Part I (Journal of Systems and Control Engineering), V209, P157, DOI 10.1243/PIME_PROC_1995_209_380_02
[3]   Optimal control of active structures with piezoelectric modal sensors and actuators [J].
Chen, CQ ;
Shen, YP .
SMART MATERIALS & STRUCTURES, 1997, 6 (04) :403-409
[4]  
Culshaw B, 1996, SMART STRUCTURES MAT
[5]  
Fuller C., 1996, ACTIVE CONTROL VIBRA
[6]   FINITE-ELEMENT ANALYSIS OF COMPOSITE STRUCTURES CONTAINING DISTRIBUTED PIEZOCERAMIC SENSORS AND ACTUATORS [J].
HA, SK ;
KEILERS, C ;
CHANG, FK .
AIAA JOURNAL, 1992, 30 (03) :772-780
[7]   High-precision measurement of tool-tip displacement using strain gauges in precision flexible line boring [J].
Li, CJ ;
Ulsoy, AG .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 1999, 13 (04) :531-546
[8]   Stability and robustness for discrete-time systems with control signal saturation [J].
Plummer, AR ;
Ling, CS .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2000, 214 (I1) :65-76
[9]   Adaptive control of smart structures using neural networks [J].
Rao, Vittal ;
Damle, Rajendra ;
Tebbe, Chris ;
Kern, Frank .
Smart Materials and Structures, 1994, 3 (03) :354-366
[10]   Active control of forced and unforced structural vibration [J].
Salemi, P ;
Golnaraghi, MF ;
Heppler, GR .
JOURNAL OF SOUND AND VIBRATION, 1997, 208 (01) :15-32