NDLI: Precision position control of servo systems using adaptive back-stepping and recurrent fuzzy neural networks

Content Provider	Springer Nature Link
Author	Kim, Han Me Han, Seong Ik Kim, Jong Shik
Copyright Year	2009
Abstract	To improve position tracking performance of servo systems, a position tracking control using adaptive back-stepping control(ABSC) scheme and recurrent fuzzy neural networks(RFNN) is proposed. An adaptive rule of the ABSC based on system dynamics and dynamic friction model is also suggested to compensate nonlinear dynamic friction characteristics. However, it is difficult to reduce the position tracking error of servo systems by using only the ABSC scheme because of the system uncertainties which cannot be exactly identified during the modeling of servo systems. Therefore, in order to overcome system uncertainties and then to improve position tracking performance of servo systems, the RFNN technique is additionally applied to the servo system. The feasibility of the proposed control scheme for a servo system is validated through experiments. Experimental results show that the servo system with ABS controller based on the dual friction observer and RFNN including the reconstruction error estimator can achieve desired tracking performance and robustness.
Starting Page	3059
Ending Page	3070
Page Count	12
File Format	PDF
ISSN	1738494X
Journal	Journal of Mechanical Science and Technology
Volume Number	23
Issue Number	11
e-ISSN	19763824
Language	English
Publisher	Korean Society of Mechanical Engineers
Publisher Date	2010-01-21
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	LuGre model Adaptive back-stepping Dual friction observer Recurrent fuzzy neural networks Industrial and Production Engineering Vibration, Dynamical Systems, Control Mechanical Engineering
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Mechanical Engineering

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

Robust sliding mode control for uncertain servo system using friction observer and recurrent fuzzy neural networks?

Hybrid adaptive compensation control scheme for high-precision servo system

Robust adaptive deadzone and friction compensation of robot manipulator using RWCMAC network

New approach of friction identification for electro-hydraulic servo system based on evolutionary algorithm and statistical logics with experiments

A robust control of electro hydrostatic actuator using the adaptive back-stepping scheme and fuzzy neural networks

A design for elevator group controller of building using adaptive dual fuzzy algorithm

Design of a dual-drive mechanism for precision gantry

Robust adaptive position and force controller design of robot manipulator using fuzzy neural networks

LuGre-Model-Based Friction Compensation

Precision position control of servo systems using adaptive back-stepping and recurrent fuzzy neural networks

Similar Documents

Robust sliding mode control for uncertain servo system using friction observer and recurrent fuzzy neural networks?

Hybrid adaptive compensation control scheme for high-precision servo system

Robust adaptive deadzone and friction compensation of robot manipulator using RWCMAC network

New approach of friction identification for electro-hydraulic servo system based on evolutionary algorithm and statistical logics with experiments

A robust control of electro hydrostatic actuator using the adaptive back-stepping scheme and fuzzy neural networks

A design for elevator group controller of building using adaptive dual fuzzy algorithm

Design of a dual-drive mechanism for precision gantry

Robust adaptive position and force controller design of robot manipulator using fuzzy neural networks

LuGre-Model-Based Friction Compensation

Precision position control of servo systems using adaptive back-stepping and recurrent fuzzy neural networks