NDLI: Hybrid adaptive control for gust load alleviation

Content Provider	IEEE Xplore Digital Library
Author	Bian Qi Li Ting Qin Yuemei Peng Cheng
Copyright Year	2015
Description	Author affiliation: Dept. of Autom., Northwestern Polytech. Univ., Xi'an, China (Bian Qi; Li Ting; Qin Yuemei; Peng Cheng)
Abstract	This paper develops a hybrid adaptive control (HAC) framework based on fast block least mean square (FBLMS) algorithm for gust load alleviation (GLA). Currently, the GLA control system is usually focusing on the alleviation of structural vibration of aircraft caused by turbulence perturbation. However, the conventional GLA control system could become useless as we need to focus on the alleviation in a relatively short period while the intensity of atmospheric turbulence changes fast. FBLMS algorithm exploits the computational advantage supported by a fast convolution technique which is known as the overlapped save method that relies on fast Fourier transform (FFT) algorithm for its implementation. With the proposed approach, an adaptive filter based on FBLMS algorithm is implemented as an outer adaptive feedforward controller which could cooperated with an inner proportional-integral-differential (PID) based feedback controller to suppress the aircraft vibration at every time step. With this algorithm, the HAC system could be able to take into account both the convergence rate and control accuracy at the same time. As a consequence, aircraft structural vibration could be alleviated in a relatively short time while the stability of whole system is guaranteed. A large transport aircraft dynamic model will be used to test the feasibility of the proposed HAC algorithm.
Starting Page	161
Ending Page	165
File Size	316955
Page Count	5
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7259631
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Vibrations Finite impulse response filters Heuristic algorithms Fast block least mean square algorithm Aerodynamics Control systems Gust load alleviation Hybrid adaptive control Aircraft Aerospace control
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

Adaptive filtering based on least mean square algorithm

A simplified global least mean square algorithm for adaptive IIR filtering

Two-dimensional block adaptive filtering algorithms

On order statistic least mean square algorithms

Performance analysis of the block least mean square algorithm

On the implementation of fully adaptive interpolated FIR filters

A global least mean square algorithm for adaptive IIR filtering

Application of Adaptive Filter Using Adaptive Line Enhancer Techniques

Design and implementation of Least Mean Square adaptive filter on fetal electrocardiography

Hybrid adaptive control for gust load alleviation

Similar Documents

Adaptive filtering based on least mean square algorithm

A simplified global least mean square algorithm for adaptive IIR filtering

Two-dimensional block adaptive filtering algorithms

On order statistic least mean square algorithms

Performance analysis of the block least mean square algorithm

On the implementation of fully adaptive interpolated FIR filters

A global least mean square algorithm for adaptive IIR filtering

Application of Adaptive Filter Using Adaptive Line Enhancer Techniques

Design and implementation of Least Mean Square adaptive filter on fetal electrocardiography

Hybrid adaptive control for gust load alleviation