Active vibration control of smart flexible piezoelectric beam with a tip mass using hybrid FX-VSSLMS algorithm

被引：3

作者：

Wang, Xiaopeng ^{[1
]}

Gao, Zhiyuan ^{[1
]}

Fang, Yubin ^{[1
]}

Hu, Jiaming ^{[1
]}

Zhu, Xiaojin ^{[1
]}

机构：

[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China

来源：

JOURNAL OF ENGINEERING-JOE | 2019年 / 13期

基金：

中国国家自然科学基金;

关键词：

feedforward; least mean squares methods; beams (structures); piezoelectric actuators; feedback; vibration control; flexible structures; flexible manipulators; active vibration control; smart flexible piezoelectric beam; tip mass; hybrid FX-VSSLMS algorithm; active vibration suppression; filtered-X variable step size least mean square algorithm; control performance; stainless steel beam; adaptive feedforward control systems; combined feedback and feedforward control systems; traditional feedforward filtered-X least mean square algorithm; flexible robot arm simulation; hybrid control systems; sensors; NOISE-CONTROL; STEP-SIZE; CONVERGENCE;

D O I：

10.1049/joe.2018.9033

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study concerns adaptive feedforward and hybrid (combined feedback and feedforward) control systems for active vibration suppression of smart flexible beam with a tip mass. By analysing traditional feedforward filtered-X least mean square (FXLMS) algorithm and filtered-X variable step size least mean square (FX-VSSLMS) algorithm, a new hybrid FX-VSSLMS algorithm is developed to improve the control performance of feedforward controllers. A stainless steel beam with a tip mass is employed to simulate flexible robot arm with varying loads. Piezoelectric actuators and sensors are attached to the surface of the beam. Comparison experiments show the effectiveness and benefits of the proposed hybrid FX-VSSLMS method.

引用

页码：172 / 174

页数：3

共 11 条

[1] Theoretical convergence analysis of FxLMS algorithm [J].

Ardekani, I. Tabatabaei ;

Abdulla, W. H. .

SIGNAL PROCESSING, 2010, 90 (12) :3046-3055

[2] Control design approaches for parallel robot manipulators: A review [J].

Azar A.T. ;

Zhu Q. ;

Khamis A. ;

Zhao D. .

International Journal of Modelling, Identification and Control, 2017, 28 (03) :199-211

[3] Feedforward Active Noise Control With a New Variable Tap-Length and Step-Size Filtered-X LMS Algorithm [J].

Chang, Dah-Chung ;

Chu, Fei-Tao .

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2014, 22 (02) :542-555

[4] A review of space robotics technologies for on-orbit servicing [J].

Flores-Abad, Angel ;

Ma, Ou ;

Pham, Khanh ;

Ulrich, Steve .

PROGRESS IN AEROSPACE SCIENCES, 2014, 68 :1-26

[5] Variable Step Size for Improving Convergence of FxLMS Algorithm [J].

Gomathi, K. ;

Saravanan, V. ;

Santhiyakumari, N. .

1ST GLOBAL COLLOQUIUM ON RECENT ADVANCEMENTS AND EFFECTUAL RESEARCHES IN ENGINEERING, SCIENCE AND TECHNOLOGY - RAEREST 2016, 2016, 25 :420-426

[6] Vibration Control of a Flexible Robotic Manipulator in the Presence of Input Deadzone [J].

He, Wei ;

Ouyang, Yuncheng ;

Hong, Jie .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (01) :48-59

[7] Boundary vibration control for a flexible Timoshenko robotic manipulator [J].

He, Xiuyu ;

He, Wei ;

Qin, Hui ;

Sun, Changyin .

IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (07) :875-882

[8]

Huang QZ, 2014, J VIBROENG, V16, P2341

[9]

JIE Wei-jun, 2016, J ORDNANCE EQUIPMENT, V37, P166

[10] Adaptive feedback feedforward compensation for disturbance rejection in a one DOF flexible structure: comparative analysis [J].

Mariotte, Efrain ;

Quiroga, Jabid ;

Oviedo, Silvia .

UIS INGENIERIAS, 2018, 17 (01) :105-114

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