Adaptive self-organizing fuzzy sliding mode controller for a nonlocal strain gradient nanobeam

In this investigation, an adaptive self-organizing fuzzy sliding mode controller (ASFSC) has been developed for vibration control of an Euler-Bernoulli nanobeam with immoveable ends, imposed by a centralized external force. Considering the mid-plane stretching effect, the governing ordinary differen...

Full description

Saved in:
Bibliographic Details
Published in:European journal of control 2022-05, Vol.65, p.100626, Article 100626
Main Authors: Rajaei, Arman, Chizfahm, Amir, Vatankhah, Ramin, Montazeri, Allahyar
Format: Article
Language:English
Subjects:
Adaptive
Algorithms
Control systems design
Controllers
Differential equations
Fuzzy control
Mid-plane stretching
Nanobeam
Nonlocal strain gradient
Parameter modification
Partial differential equations
Self-organizing fuzzy controller
Sliding mode control
Sliding-mode
Vibration
Vibration control
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this investigation, an adaptive self-organizing fuzzy sliding mode controller (ASFSC) has been developed for vibration control of an Euler-Bernoulli nanobeam with immoveable ends, imposed by a centralized external force. Considering the mid-plane stretching effect, the governing ordinary differential equation (ODE) of the considered nanobeam is derived based on nonlocal strain gradient theory and using Galerkin projection. In order to overcome the problem of choosing inappropriate parameters in the self-organizing part, a self-organizing fuzzy sliding mode controller is constructed to modify the parameters. Another fuzzy controller is designed and has the role of imposing controller output to regulate the system response. The sliding surface and its changes are determined as the controller signal inputs for obtaining a better performance. An adaptive law is used to validate the stability and improve the system's performance by modifying the fuzzy controller coefficients and reducing the chattering phenomena and overcoming the issue of dead-zone. Furthermore, Lyapunov stability proof is presented, and the numerical simulations are the showcase of the superior performance of the proposed controller.
ISSN:0947-3580
1435-5671
DOI:10.1016/j.ejcon.2022.100626