Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Adaptive Self-Organizing Fuzzy Sliding Mode Controller for a Non-Local Strain Gradient Nanobeam
AU - Rajaeia, Arman
AU - Chizfahm, Amir
AU - Vatankhah, Ramin
AU - Montazeri, Allahyar
PY - 2022/3/11
Y1 - 2022/3/11
N2 - 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 an external centralized force. Considering mid-plane stretching effect, governing ordinary differential equation (ODE) of the considered nanobeam is derived based on non-local strain gradient theory and using Galerkin projection. In order to overcome the problem of choosing inappropriate parameters in 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. Sliding surface and its changes are determined as controller signal inputs for obtaining better performance. An adaptive law is used to validate the stability and improve the performance of the system by modifying fuzzy controller coefficients, as well as reducing chattering phenomena and overcome the issues of dead-zone. Furthermore, Lyapunov stability proof is presented and the numerical simulations are the showcase of the high performance of the proposed controller.
AB - 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 an external centralized force. Considering mid-plane stretching effect, governing ordinary differential equation (ODE) of the considered nanobeam is derived based on non-local strain gradient theory and using Galerkin projection. In order to overcome the problem of choosing inappropriate parameters in 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. Sliding surface and its changes are determined as controller signal inputs for obtaining better performance. An adaptive law is used to validate the stability and improve the performance of the system by modifying fuzzy controller coefficients, as well as reducing chattering phenomena and overcome the issues of dead-zone. Furthermore, Lyapunov stability proof is presented and the numerical simulations are the showcase of the high performance of the proposed controller.
KW - adaptive sliding-mode
KW - nanobeam
KW - mid-plane stretching
KW - self-organizing fuzzy controller
U2 - 10.1016/j.ejcon.2022.100626
DO - 10.1016/j.ejcon.2022.100626
M3 - Journal article
JO - European Journal of Control
JF - European Journal of Control
SN - 0947-3580
M1 - 100626
ER -