2019
DOI: 10.1002/asjc.2117
|View full text |Cite
|
Sign up to set email alerts
|

Reduced‐order sliding function design for a class of nonlinear systems

Abstract: In this paper, the design of first order sliding mode control (SMC) and twisting control based on the reduced order sliding function is proposed for the robust stabilization of an class of uncertain nonlinear single‐input system. This method greatly simplifies the control design as the sliding function is linear, which is based on reduced order state vector. The nonlinear system is represented as a cascade interconnection of two subsystems driving and driven subsystems. Sliding surface and SMC are designed for… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 23 publications
0
1
0
Order By: Relevance
“…Sliding mode control (SMC) is a significant branch of the variable structure system (VSS), which is renowned as insensitive to system uncertainties and parameter variations. SMC has been extensively used for the satellite systems [15], robotic manipulator [16], oscillators [17], power electronics applications [18], etc. However, conventional SMC has drawbacks such as large steady-state error, slow convergence speed, singularity and chattering occurrence in the control inputs.…”
Section: Introductionmentioning
confidence: 99%
“…Sliding mode control (SMC) is a significant branch of the variable structure system (VSS), which is renowned as insensitive to system uncertainties and parameter variations. SMC has been extensively used for the satellite systems [15], robotic manipulator [16], oscillators [17], power electronics applications [18], etc. However, conventional SMC has drawbacks such as large steady-state error, slow convergence speed, singularity and chattering occurrence in the control inputs.…”
Section: Introductionmentioning
confidence: 99%