2017 29th Chinese Control and Decision Conference (CCDC) 2017
DOI: 10.1109/ccdc.2017.7979270
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive fuzzy time-varying sliding mode control for quadrotor UAV attitude system with prescribed performance

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 17 publications
0
5
0
Order By: Relevance
“…Recall ( 28) and (30) and define S = [ T 1 , e T 2 ] T . By using the technique of the proof of lemma C.4 in Reference 30 to the cascaded inequalities (28) and (30) and using some tedious calculations, we have the ISpS property of the overall error system:…”
Section: Isps Property Of the Overall Cascaded Error Systemmentioning
confidence: 99%
See 2 more Smart Citations
“…Recall ( 28) and (30) and define S = [ T 1 , e T 2 ] T . By using the technique of the proof of lemma C.4 in Reference 30 to the cascaded inequalities (28) and (30) and using some tedious calculations, we have the ISpS property of the overall error system:…”
Section: Isps Property Of the Overall Cascaded Error Systemmentioning
confidence: 99%
“…There have been also many works focusing on attitude control of quadrotors. 14,16,[21][22][23][24][25][26][27][28][29] It is found that in most of these works, the angular velocity measurements are used for the controller. However, in practice, the velocity measurements are often contaminated by heavy measurement noises.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, it is very important to introduce a control strategy to obtain a good transition process. The prescribed performance, which are characterised as the inequality constraints, are utilised in [24–26] to guarantee the transient performance of tracking errors. However, the fast decaying speed of performance function and the large initial deviation, in fact, requires large inputs which possibly leads to saturation problem.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, a sliding surface is defined using angular information as a function of time that provides adjustable continuous movement of the sliding surface. A decoupled SMC using time-varying sliding surface for fourth-order nonlinear systems (Yorgancioglu and Komurcugil, 2010), a finite-time attitude tracking control for a spacecraft using time-varying terminal SMC techniques (Zhao and Jia, 2015), an exponential function-based fuzzy SMC design for uncertain nonlinear systems (Nagarale and Patre, 2016), an adaptive fuzzy time-varying SMC for quadrotor unmanned aerial vehicle attitude system (Chang and Shi, 2017), a moving SMC for a DC motor driven four-bar (Cakar and Tanyildizi, 2018), an adaptive global second-order sliding surface for perturbed dynamical systems with matched and unmatched external disturbances (Mobayen and Tchier, 2018), a robust SMC with adaptive reaching law for three second-order nonlinear system (Han et al, 2018), the design of a fractional-order adaptive integral sliding mode controller for the trajectory tracking control of robot manipulators (Dumlu, 2018), the SMC with time-varying ellipsoidal sliding surface (Mizoshiri and Mori, 2019), and a fast form of non-singular, terminal, decoupled SMC which utilizes time-varying sliding surfaces for a class of fourth-order, single-input, multi-output, nonlinear systems (Yorgancioglu and Redif, 2019) and a precise tip-positioning control of a single-link flexible arm using a fractional-order sliding mode controller (Nejad et al, 2020) are proposed, respectively.…”
Section: Introductionmentioning
confidence: 99%