计算机与数字工程2017，Vol.45Issue(7)：1268-1272,1281,6.DOI:10.3969/j.issn.1672-9722.2017.07.007
三自由度直升机模型自适应模糊神经网络控制
Adaptive Fuzzy Neural Network Control for Three Degree of Freedom Helicopter Model
李亚帅 1邵宗凯1
作者信息
- 1. 昆明理工大学信息工程与自动化学院 昆明 650500
- 折叠
摘要
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.关键词
三自由度直升机/自适应模糊神经网络/线性二次型/动态性能Key words
three degree of freedom helicopter/adaptive neuro-fuzzy inference system/LQR/dynamic performance分类
信息技术与安全科学引用本文复制引用
李亚帅,邵宗凯..三自由度直升机模型自适应模糊神经网络控制[J].计算机与数字工程,2017,45(7):1268-1272,1281,6.
