NDLI: Adaptive PID controller design for wing rock suppression using self-recurrent wavelet neural network identifier

Please wait, while we are loading the content...

Adaptive PID controller design for wing rock suppression using self-recurrent wavelet neural network identifier

Content Provider	Springer Nature Link
Author	Malekzadeh, Milad Sadati, Jalil Alizadeh, Mojtaba
Copyright Year	2015
Abstract	This paper presents a novel control scheme based on auto-tuning PID controller to suppress wing rock phenomena. Due to having a complex dynamic, wing rock motion identification is not a simple task, and this complexity can adversely affect the performance of PID controller. Employing a wavelet neural network based identifier, this paper develops an auto tuning adaptive PID controller to tackle the problem. Since having an acceptable control performance inevitably involves having a meticulously trained identifier, the training performance is of utmost importance. Aiming at boosting the training efficacy, a two-phase algorithm encompassing Bees algorithm and Back-Propagation (BP) is proposed by this paper to train the proposed identifier respectively in off-line and on-line modes. Due to its inherent capability in sifting the global minima, Bees algorithm is employed to find initial values of weights around which it is then possible to conduct a local search by means of BP based online training. Therefore, the identifier can precisely furnish the proposed PID controller with the system sensitivity in on-line mode. The adaption of PID controller can thus be performed in each time step. The performance of this method has been presented in simulation results and the comparison section confirms the effectiveness of proposed scheme.
Starting Page	267
Ending Page	275
Page Count	9
File Format	PDF
ISSN	18686478
Journal	Evolving Systems
Volume Number	7
Issue Number	4
e-ISSN	18686486
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-12-31
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wavelet neural network Wing rock motion PID controller Identification Complexity Artificial Intelligence (incl. Robotics) Complex Systems
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation Computer Science Applications

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 supervisory WCMAC neural network controller (SWC) for nonlinear systems

Recurrent wavelet neural backstepping controller design with a smooth compensator

Intelligent control of static synchronous series compensator via an adaptive self-tuning PID controller for suppression of torsional oscillations

Neural-network-based robust adaptive control for a class of nonlinear systems

Neural Adaptive Control in Application Service Management Environment

Output recurrent wavelet neural network-based adaptive backstepping controller for a class of MIMO nonlinear non-affine uncertain systems

Online self-evolving fuzzy controller with global learning capabilities

Information dynamics based self-adaptive reservoir for delay temporal memory tasks

Nonlinear dynamic system identification using recurrent neural network with multi-segment piecewise-linear connection weight

Adaptive PID controller design for wing rock suppression using self-recurrent wavelet neural network identifier

Similar Documents

Adaptive supervisory WCMAC neural network controller (SWC) for nonlinear systems

Recurrent wavelet neural backstepping controller design with a smooth compensator

Intelligent control of static synchronous series compensator via an adaptive self-tuning PID controller for suppression of torsional oscillations

Neural-network-based robust adaptive control for a class of nonlinear systems

Neural Adaptive Control in Application Service Management Environment

Output recurrent wavelet neural network-based adaptive backstepping controller for a class of MIMO nonlinear non-affine uncertain systems

Online self-evolving fuzzy controller with global learning capabilities

Information dynamics based self-adaptive reservoir for delay temporal memory tasks

Nonlinear dynamic system identification using recurrent neural network with multi-segment piecewise-linear connection weight

Adaptive PID controller design for wing rock suppression using self-recurrent wavelet neural network identifier