TY - JOUR
T1 - A Model Reference Adaptive Control Based on Fuzzy Neural Network for Some Weapon Ac Servo System
AU - Huawei CHAI, Longxing YANG
JO - Journal of Information and Computing Science
VL - 4
SP - 299
EP - 306
PY - 2024
DA - 2024/01
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22739.html
KW - ac servo system
KW -  position control
KW -  fuzzy neural network  

AB - Abstract.This paper presents a novel model reference adaptive control algorithm based on fuzzy neural network. 
This  widely  used  method  is  utilized  to  adjust  the  parameters  on  line.  The  fuzzy  neural  network  sliding  mode 
controller,which integrates the fuzzy neural network with sliding mode controller, is put forward to control some 
weapon  servo  system  with  model  uncertainties  and  parameters  variation.  Because  this  proposed  algorithm 
combines excellences of FNN and sliding mode control, it has the ability to eliminate the drawbacks of traditional 
SMC, i.e. the chattering in the control signal and needing knowledge of bounds of uncertainties. Simulation results 
verify this proposed algorithm can reduce the plant’s sensitivity to parameter variation and disturbance.