NDLI: ANFIS controller based on RBF identification for piezoelectric actuator in a positioning system

Content Provider	IEEE Xplore Digital Library
Author	Ghasemi, Nima Barakati, S. Masoud Farid, Ali Moltajaei
Copyright Year	2015
Description	Author affiliation: Department of Mechanical Engineering, University of Sistan and Baluchestan Zahedan, Iran (Ghasemi, Nima) \|\| Department of Electrical and Electronics Engineering, University of Sistan and Baluchestan Zahedan, Iran (Barakati, S. Masoud; Farid, Ali Moltajaei)
Abstract	Piezoelectric actuator is widely used in precision positioning mechanism for the advantages of ultra-high resolution, easy miniaturization, and rapid dynamic performance. But piezoelectricity material has nonlinear hysteresis effect. Due to this characteristic, accurate tracking is difficult to be achieved. In this paper, a model for piezoelectric actuator with hysteretic nonlinear model is developed. Also to improve the performance of piezoactuator, two control algorithms, adaptive PID control based on RBF neural network and ANFIS controller based on RBF neural network identification, are proposed. In both controllers, an identification algorithm is used to adjust timely the weights and coefficients of the controllers. Then simulation results of these algorithms are compared with together. The results show that an average error of ANFIS controller and a PID-RBF is close together; however, ANFIS controller is capable to reduce the effect of hysteresis better than the PID-RBF controller.
Starting Page	1
Ending Page	6
File Size	475755
Page Count	6
File Format	PDF
e-ISBN	9781467385459
DOI	10.1109/CFIS.2015.7391654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-09
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pizeoelectric Piezoelectric actuators Artificial neural networks RBF ANFIS controller Mathematical model Voltage control Hysteresis Convergence
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

Control system design for piezoelectric actuator based on hysteresis compensation

Adaptive Identification and Control of Hysteresis for Piezoelectric Actuator

Online tuning of dither for micro-nano positioning platform: A PID based approach

Modeling and Control of Rate-Dependent Hysteresis for PEA with MPI Model-Based Hammerstein System

Modeling of micro-dispalcement stage based on diagonal recurrent neural network

Modelling and simulation of piezoelectric actuator for vibration control

Online ANFIS controller based on RBF identification and PSO

A model based compensator for rate-dependent hysteresis in piezoelectric actuators

Precision control of piezoelectric actuator using inverse hysteresis model and neuro control

ANFIS controller based on RBF identification for piezoelectric actuator in a positioning system

Similar Documents

Control system design for piezoelectric actuator based on hysteresis compensation

Adaptive Identification and Control of Hysteresis for Piezoelectric Actuator

Online tuning of dither for micro-nano positioning platform: A PID based approach

Modeling and Control of Rate-Dependent Hysteresis for PEA with MPI Model-Based Hammerstein System

Modeling of micro-dispalcement stage based on diagonal recurrent neural network

Modelling and simulation of piezoelectric actuator for vibration control

Online ANFIS controller based on RBF identification and PSO

A model based compensator for rate-dependent hysteresis in piezoelectric actuators

Precision control of piezoelectric actuator using inverse hysteresis model and neuro control

ANFIS controller based on RBF identification for piezoelectric actuator in a positioning system