Fixed-time adaptive fuzzy SOSM controller design with output constraint

被引:3
作者
Li, Xin [1 ]
Ma, Li [1 ]
Mei, Keqi [1 ,2 ]
Ding, Shihong [1 ]
Pan, Tianhong [3 ]
机构
[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China
[2] Southeast Univ, Key Lab Measurement & Control Complex Syst Engn, Minist Educ, Nanjing 210096, Peoples R China
[3] Anhui Univ, Sch Elect Engn & Automation, Hefei 230601, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Second-order sliding mode; Adaptive fuzzy control; Adding a power integrator; Barrier Lyapunov function; Fixed-time stability; Output constraints; SLIDING MODE CONTROL; SYSTEMS; ORDER; STABILIZATION; ALGORITHM;
D O I
10.1007/s00521-023-08224-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A fixed-time adaptive fuzzy second-order sliding mode (SOSM) approach has been designed to handle the problem of nonlinear systems with output constraints. According to the advantages of using fuzzy logic systems, the unknown bounds of uncertainties can be approached dynamically. The problem of output constraints has been well handled by constructing a barrier Lyapunov function. Next, with the help of adding a power integrator technique and adaptive fuzzy control, a fixed-time adaptive fuzzy SOSM controller is designed for the considered systems. In addition to the above, the controller can not only promote the sliding variables to converge to the origin in fixed time, but also stabilize the variables in the constrained range. In other words, under the proposed method, the systems can be stable in a specified time no matter how the initial value changes. Lastly, a numerical example is used to verify the performance of the proposed SOSM control tactic.
引用
收藏
页码:9893 / 9905
页数:13
相关论文
共 41 条
[1]   Enhancing the settling time estimation of a class of fixed-time stable systems [J].
Aldana-Lopez, Rodrigo ;
Gomez-Gutierrez, David ;
Jimenez-Rodriguez, Esteban ;
Diego Sanchez-Torres, Juan ;
Defoort, Michael .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (12) :4135-4148
[2]   Homogeneous approximation, recursive observer design, and output feedback [J].
Andrieu, Vincent ;
Praly, Laurent ;
Astolfi, Alessandro .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (04) :1814-1850
[3]   A nonhomogeneous super-twisting algorithm for systems of relative degree more than one [J].
Basin, Michael ;
Rodriguez-Ramirez, Pablo ;
Ding, Steven ;
Dominic, Shane .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (04) :1364-1377
[4]   Robust fixed-time attitude stabilization control of flexible spacecraft with actuator uncertainty [J].
Cao, Lu ;
Xiao, Bing ;
Golestani, Mehdi .
NONLINEAR DYNAMICS, 2020, 100 (03) :2505-2519
[5]   A sliding mode observer for robust fault reconstruction in a class of nonlinear non-infinitely observable descriptor systems [J].
Chan, Joseph Chang Lun ;
Lee, Tae H. ;
Tan, Chee Pin .
NONLINEAR DYNAMICS, 2020, 101 (02) :1023-1036
[6]   Adaptive neuro-fuzzy inference system-based grey time-varying sliding mode control for power conditioning applications [J].
Chang, En-Chih ;
Wu, Rong-Ching ;
Zhu, Ke ;
Chen, Guan-Yu .
NEURAL COMPUTING & APPLICATIONS, 2018, 30 (03) :699-707
[7]   A unified approach to finite-time stabilization of high-order nonlinear systems with an asymmetric output constraint [J].
Chen, Chih-Chiang ;
Sun, Zong-Yao .
AUTOMATICA, 2020, 111
[8]   Ultimate Boundedness Control for Networked Singularly Perturbed Systems With Deception Attacks: A Markovian Communication Protocol Approach [J].
Cheng, Jun ;
Park, Ju H. ;
Wu, Zheng-Guang ;
Yan, Huaicheng .
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 9 (02) :445-456
[9]   Uniform sliding mode controllers and uniform sliding surfaces [J].
Cruz-Zavala, Emmanuel ;
Moreno, Jaime A. ;
Fridman, Leonid .
IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2012, 29 (04) :491-505
[10]   Fuzzy neural network sliding mode control for long delay time systems based on fuzzy prediction [J].
Da, Feipeng .
NEURAL COMPUTING & APPLICATIONS, 2008, 17 (5-6) :531-539