NDLI: Performance analysis and comparison of FXLMS and FULMS algorithm for active structure vibration control

Content Provider	IEEE Xplore Digital Library
Author	Gao Shouwei Gao Zhiyuan Shao Yong Yi Jincong Zhu Xiaojin
Copyright Year	2010
Description	Author affiliation: Department of automation, School of Mechatronics Engineering and Automation, Shanghai University, China (Gao Shouwei; Gao Zhiyuan; Shao Yong; Yi Jincong; Zhu Xiaojin)
Abstract	Taking the piezoelectric beam as research object, filtered-U least mean square (FULMS) control algorithm for feed-forward adaptive control is analyzed and compared with filtered-x least mean square (FXLMS) feed-forward control algorithm, which can solve the problem that the vibration feedback may affect the measuring of the reference signal in FXLMS. By introducing FXLMS and FULMS control algorithm, this paper gives the controller design structure, while structure modal analysis to determine the optimal placement of piezoelectric sensors and actuators and model parameter identification for the controlled structure are done. Then the active vibration control experimental platform is established to verify the effectiveness of FULMS control scheme as well as FXLMS control scheme. Meanwhile the experimental results of FXLMS and FULMS are compared. The performance comparison shows that the FULMS adaptive vibration controller has a better control performance, with more rapid convergence than FXLMS controller.
Starting Page	197
Ending Page	201
File Size	1196357
Page Count	5
File Format	PDF
ISBN	9781424458455
e-ISBN	9781424458486
DOI	10.1109/ICACC.2010.5487047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Adaptive Control Piezoelectric Structure Adaptive filters Vibration measurement Adaptive control Active Vibration Control Feedback Comparison Optimal control Vibration control Performance analysis FULMS Algorithm Feedforward systems Signal analysis Performance Analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Analysis of adaptive filter feedforward control algorithm based on IIR mode for active structure vibration control

FxLMS algorithm with variable step size and variable leakage factor for active vibration control

Hybrid adaptive feedforward-feedback compensation algorithms for active vibration control systems

Novel FxLMS Convergence Condition With Deterministic Reference

A feedback LMS adaptive algorithm for active vibration control

FXLMS algorithm based multi channel active vibration control of piezoelectric flexible beam

Self-sensing Piezoelectric Actuator for Active Vibration Control Based on Adaptive Filter

Adaptive algorithms for active sound-profiling

Statistical analysis of the FXLMS algorithm about the steady-state solution

Performance analysis and comparison of FXLMS and FULMS algorithm for active structure vibration control

Similar Documents

Analysis of adaptive filter feedforward control algorithm based on IIR mode for active structure vibration control

FxLMS algorithm with variable step size and variable leakage factor for active vibration control

Hybrid adaptive feedforward-feedback compensation algorithms for active vibration control systems

Novel FxLMS Convergence Condition With Deterministic Reference

A feedback LMS adaptive algorithm for active vibration control

FXLMS algorithm based multi channel active vibration control of piezoelectric flexible beam

Self-sensing Piezoelectric Actuator for Active Vibration Control Based on Adaptive Filter

Adaptive algorithms for active sound-profiling

Statistical analysis of the FXLMS algorithm about the steady-state solution

Performance analysis and comparison of FXLMS and FULMS algorithm for active structure vibration control