Adaptive Dynamic Surface Sliding Mode Control for Orbit Tracking of Small Celestial Body Detector with Disturbance Observer

2020 ◽  
Author(s):  
Yao Wenlong ◽  
Yang Ke ◽  
Qi Guanhua ◽  
Shao Wei ◽  
Chi Ronghu
Keyword(s):  
Sliding Mode Control ◽  
Celestial Body ◽  
Disturbance Observer ◽  
Sliding Mode ◽  
Dynamic Surface ◽  
Adaptive Dynamic ◽  
Mode Control ◽  
Orbit Tracking

Adaptive Dynamic Surface Based Nonsingular Fast Terminal Sliding Mode Control for Semistrict Feedback System

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Hao Li ◽  
Lihua Dou ◽  
Zhong Su
Keyword(s):  
Sliding Mode Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Terminal Sliding Mode Control ◽  
Feedback Form ◽  
Terminal Sliding Mode ◽  
Dynamic Surface ◽  
Adaptive Dynamic ◽  
Mode Control ◽  
Fast Terminal Sliding Mode

This paper focuses on an adaptive dynamic surface based nonsingular fast terminal sliding mode control (ADS-NFTSMC) for a class of nth-order uncertain nonlinear systems in semistrict feedback form. A simple and effective controller has been obtained by introducing dynamic surface control (DSC) technique on the basis of second-order filters that the “explosion of terms” problem caused by backstepping method can be avoided. The nonsingular fast terminal sliding mode control is adopted in the last step of the controller design, and the error convergence rate is improved. An composite adaptive law is used to gain fast and accurate parameter estimation. Finally, simulation results are presented to illustrate the effectiveness of the proposed method.

scholarly journals Observer-based adaptive neural network backstepping sliding mode control for switched fractional order uncertain nonlinear systems with unmeasured states

2021 ◽  
pp. 002029402110211
Author(s):  
Tao Chen ◽  
Damin Cao ◽  
Jiaxin Yuan ◽  
Hui Yang
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Sliding Mode ◽  
Tracking Error ◽  
Adaptive Neural Network ◽  
Dynamic Surface ◽  
Mode Control ◽  
The Stability

This paper proposes an observer-based adaptive neural network backstepping sliding mode controller to ensure the stability of switched fractional order strict-feedback nonlinear systems in the presence of arbitrary switchings and unmeasured states. To avoid “explosion of complexity” and obtain fractional derivatives for virtual control functions continuously, the fractional order dynamic surface control (DSC) technology is introduced into the controller. An observer is used for states estimation of the fractional order systems. The sliding mode control technology is introduced to enhance robustness. The unknown nonlinear functions and uncertain disturbances are approximated by the radial basis function neural networks (RBFNNs). The stability of system is ensured by the constructed Lyapunov functions. The fractional adaptive laws are proposed to update uncertain parameters. The proposed controller can ensure convergence of the tracking error and all the states remain bounded in the closed-loop systems. Lastly, the feasibility of the proposed control method is proved by giving two examples.

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