|Table of Contents|

Designing adaptive sliding mode controller for an eight-rotor MAV(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2018年01期
Page:
33-
Research Field:
Publishing date:

Info

Title:
Designing adaptive sliding mode controller for an eight-rotor MAV
Author(s):
Zhang Lei1Wang Guan1Yang Xibei2Wang Pingxin3
1.Xuzhou Kindergarten Teachers College,Xuzhou 221004,China; 2.School of Computer,Jiangsu University of Science and Technology,Zhenjiang 212003,China; 3.School of Sciences,Jiangsu University of Science and Technology,Zhenjiang 212003,China
Keywords:
interval type-Ⅱ fuzzy neural network adaptive sliding mode controller eight-rotor micro aircraft vehicle attitude contral strategy uncertainties enternal disturbances
PACS:
TP2
DOI:
10.14177/j.cnki.32-1397n.2018.42.01.005
Abstract:
This paper focuses on intelligent control of the eight-rotor micro aircraft vehicle(MAV)which is used to obtain stable control due to uncertainties. This paper designs a robust and stable attitude control strategy for the eight-rotor MAV to accommodate system uncertainties,variations,and external disturbances. Firstly,by employing interval type-Ⅱ fuzzy neural network to approximate the nonlinearity function and uncertainty functions. The parameters of the interval type-Ⅱ fuzzy neural network and gain of sliding mode control can be tuned on-line by adaptive laws based on Lyapunov synthesis approach,and the Lyapunov stability theorem has been used to testify the asymptotic stability. The simulation results show that the performance of interval type-Ⅱ fuzzy neural network based adaptive sliding mode controller can guarantee the eight-rotor MAV control system with good performances under uncertainties,variations,and external disturbances,and which is significantly improved compared with the conventional adaptive sliding mode controller,type-Ⅰ fuzzy neural network based sliding mode controller.

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Last Update: 2018-02-28