Smooth Sliding Control to Overcome Chattering Arising in Classical SMC and Super-Twisting Algorithm in the presence of Unmodeled Dynamics

2021 ◽  
Author(s):  
Tiago Roux Oliveira ◽  
Liu Hsu ◽  
Eduardo Vieira Leão Nunes
Keyword(s):  
Unmodeled Dynamics ◽  
Sliding Control ◽  
Twisting Algorithm

Charge of LiPo Batteries via Switched Saturated Super-Twisting Algorithm

2020 ◽  
Author(s):  
Jose Antonio Ortega Perez ◽  
Rosalba Galvan Guerra ◽  
Yair Lozano Hernandez ◽  
Juan Eduardo Velazquez Velazquez ◽  
Luis Armando Villamar Martinez
Keyword(s):  
Twisting Algorithm

Integral barrier Lyapunov functions-based integrated guidance and control design for strap-down missile with field-of-view constraint

2021 ◽  
pp. 014233122098132
Author(s):  
Bin Zhao ◽  
Zhenxin Feng ◽  
Jianguo Guo
Keyword(s):  
Sliding Mode ◽  
State Equation ◽  
Field Of View ◽  
Feedback Form ◽  
Theoretical Derivation ◽  
Guidance And Control ◽  
Integrated Guidance And Control ◽  
Twisting Algorithm ◽  
And Control ◽  
Special Time

The problem of the integrated guidance and control (IGC) design for strap-down missile with the field-of-view (FOV) constraint is solved by using the integral barrier Lyapunov function (iBLF) and the sliding mode control theory. Firstly, the nonlinear and uncertainty state equation with non-strict feedback form for IGC design is derived by using the strap-down decoupling strategy. Secondly, a novel adaptive finite time disturbance observer is proposed to estimate the uncertainties based on an improved adaptive gain super twisting algorithm. Thirdly, the special time-varying sliding variable is designed and the iBLF is employed to handle the problem of FOV constraint. Theoretical derivation and simulation show that the IGC system is globally uniformly ultimately bounded and the FOV angle constraint is also guaranteed not only during the reaching phase but also during the sliding mode phase.

Adaptive control based on Barrier Lyapunov function for a class of full-state constrained stochastic nonlinear systems with dead-zone and unmodeled dynamics

2021 ◽  
pp. 014233122098563
Author(s):  
Fei Shen ◽  
Xinjun Wang ◽  
Xinghui Yin
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Lyapunov Function ◽  
Dead Zone ◽  
Small Neighborhood ◽  
Unmodeled Dynamics ◽  
Stochastic Nonlinear Systems ◽  
Dynamic Surface ◽  
Barrier Lyapunov Function ◽  
Full State

This paper investigates the problem of adaptive control based on Barrier Lyapunov function for a class of full-state constrained stochastic nonlinear systems with dead-zone and unmodeled dynamics. To stabilize such a system, a dynamic signal is introduced to dominate unmodeled dynamics and an assistant signal is constructed to compensate for the effect of the dead zone. Dynamic surface control is used to solve the “complexity explosion” problem in traditional backstepping design. Two cases of symmetric and asymmetric Barrier Lyapunov functions are discussed respectively in this paper. The proposed Barrier Lyapunov function based on backstepping method can ensure that the output tracking error converges in the small neighborhood of the origin. This control scheme can ensure that semi-globally uniformly ultimately boundedness of all signals in the closed-loop system. Two simulation cases are proposed to verify the effectiveness of the theoretical method.

scholarly journals A robust composite wide area control of a DFIG wind energy system for damping inter-area oscillations

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Ayyarao S. L. V. Tummala
Keyword(s):  
Wind Energy ◽  
Sliding Mode ◽  
Energy System ◽  
Wide Area ◽  
Continuous Control ◽  
Energy Integration ◽  
Wind Energy System ◽  
Wind Energy Integration ◽  
Twisting Algorithm ◽  
Wide Area Control

AbstractThis paper presents a novel composite wide area control of a DFIG wind energy system which combines the Robust Exact Differentiator (RED) and Discontinuous Integral (DI) control to damp out inter-area oscillations. RED generates the real-time differentiation of a relative speed signal in a noisy environment while DI control, an extension to a twisting algorithm and PID control, develops a continuous control signal and hence reduces chattering. The proposed control is robust to disturbances and can enhance the overall stability of the system. The proposed composite sliding mode control is evaluated using a modified benchmark two-area power system model with wind energy integration. Simulation results under various operating scenarios show the efficacy of the proposed approach.

scholarly journals Multivariable Adaptive Dual Layer Super-Twisting Algorithm

2020 ◽  
Vol 53 (2) ◽  
pp. 6219-6224
Author(s):  
Jair L. Azevedo Filho ◽  
Eduardo V.L. Nunes
Keyword(s):  
Twisting Algorithm
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