Adaptive Fuzzy Neural Network Control for Three Degree of Freedom Helicopter Model
LI Yashuai
SHAO Zongkai
Abstract：An adaptive fuzzy neural network control method is proposed for the multiple-input multiple-output (MIMO),high order and nonlinear characteristics of the three degree of freedom helicopter system.According to the characteristics of the three axes of the system,a mathematical model is established by using Newton's mechanics theory,the LQR method is used to set up the state feedback controller to get the input and output data,this data is used as training data.The neural network is introduced into the fuzzy input signal and fuzzy weight,it is introduced into the fuzzy in application of adaptive neural fuzzy inference system controller design nut signal and fuzzy weight,the control system is simulated by Matlab,the simulation curves obtained are compared with the LQR control simulation curves.Results show that the control algorithm proposed in this paper can control the signal faster than the LQR control signal,shorten the response time and increase the overall stability of the system.
Keywords：three degree of freedom helicopteradaptive neuro-fuzzy inference systemLQRdynamic performance
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1268-1272,1281 )