An Enhanced Robust Fault Tolerant Control Based on an Adaptive Fuzzy PID-Nonsingular Fast Terminal Sliding Mode Control for Uncertain Nonlinear Systems

Van, Mien

doi:10.1109/tmech.2018.2812244

Cited by 113 publications

(103 citation statements)

References 63 publications

(102 reference statements)

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“…In the second approach, due to the approximation capability, learning techniques based on neural network (NN) or fuzzy logic have been widely used to approximate the unknown component in the system . The approximation ability has also been applied to approximate the uncertainty of the surface vessels .…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural integral sliding‐mode control for tracking control of fully actuated uncertain surface vessels

Van

2019

Intl J Robust & Nonlinear

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This paper develops a novel adaptive neural integral sliding-mode control to enhance the tracking performance of fully actuated uncertain surface vessels. The proposed method is built based on an integrating between the benefits of the approximation capability of neural network (NN) and the high robustness and precision of the integral sliding-mode control (ISMC). In this paper, the design of NN, which is used to approximate the unknown dynamics, is simplified such that just only one simple adaptive rule is needed. The ISMC, which can eliminate the reaching phase and offer higher tracking performance compared to the conventional sliding-mode control, is designed such that the system robust against the approximation error and stabilize the whole system. The design procedure of the proposed controller is constructed according to the backstepping control technique so that the stability of the closed-loop system is guaranteed based on Lyapunov criteria. The proposed method is then tested on a simulated vessel system using computer simulation and compared with other state-of-the-art methods. The comparison results demonstrate the superior performance of the proposed approach. KEYWORDSadaptive control, backstepping control technique, integral sliding-mode control, neural network, surface vessels Int J Robust Nonlinear Control. 2019;29:1537-1557. wileyonlinelibrary.com/journal/rnc

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Section: Introductionmentioning

confidence: 99%

Adaptive neural integral sliding‐mode control for tracking control of fully actuated uncertain surface vessels

Van

2019

Intl J Robust & Nonlinear

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“…Therefore, the height and rising speed of the picking unit are adjusted by the electro-hydraulic servo valve. In order to achieve precise position tracking control, a PID controller, which is widely used in various industries due to its high reliability and robustness [28][29][30][31], is adopted to control the electro-hydraulic servo valve. As shown in Figure 5, the input of the PID controller is ΔU, whose value is the difference between the actual displacement signal U2 and the input displacement signal U1.…”

Section: Modeling Of the Hydraulic Control Systemmentioning

confidence: 99%

Integrated optimization of structure and control parameters for the height control system of a vertical spindle cotton picker

Chen

et al. 2020

Preprint

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Vertical picking method is a predominate method used to harvest cotton crop. However, a vertical picking method may cause spindle bending of the cotton picker if spindles collide with stones on the cotton field. Thus, how to realize a precise height control of the cotton picker is a crucial issue to be solved. The objective of this study is to design a height control system to avoid the collision. To design it, the mathematical models are established first. Then a multi-objective optimization model represented by structure parameters and control parameters is proposed to take the pressure of chamber without piston, response time and displacement error of the height control system as the optimization objectives. An integrated optimization approach that combines optimization via simulation, particle swarm optimization and simulated annealing is proposed to solve the model. Simulation and experimental test results show that the proposed integrated optimization approach can not only reduce the pressure of chamber without piston, but also decrease the response time and displacement error of the height control system.

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“…An integration of adaptive fuzzy technique and SMC method to provide the robustness for the attitude control of the vehicle is introduced. In [6], an adaptive fuzzy PID-based nonsingular fast terminal SMC is presented to enhance the robustness for attitude control of a spacecraft. An adaptive fuzzy law is applied to estimate the parametric uncertainties of the system dynamics, and then, the PID non-singular fast terminal SMC is proposed to compensate for the effects of uncertainties on the nonlinear system.…”

Section: Related Workmentioning

confidence: 99%

Robust Dynamic Sliding Mode Control-Based PID–Super Twisting Algorithm and Disturbance Observer for Second-Order Nonlinear Systems: Application to UAVs

Thanh

Hong

2019

Electronics

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This paper introduces a robust dynamic sliding mode control algorithm using a nonlinear disturbance observer for system dynamics. The proposed method is applied to provide a rapid adaptation and strictly robust performance for the attitude and altitude control of unmanned aerial vehicles (UAVs). The procedure of the proposed method consists of two stages. First, a nonlinear disturbance observer is applied to estimate the exogenous perturbation. Second, a robust dynamic sliding mode controller integrated with the estimated values of disturbances is presented by a combination of a proportional–integral–derivative (PID) sliding surface and super twisting technique to compensate for the effect of these perturbations on the system. In addition, the stability of a control system is established by Lyapunov theory. A numerical simulation was performed and compared to recently alternative methods. An excellent tracking performance and superior stability of the attitude and altitude control of UAVs, exhibiting a fast response, good adaptation, and no chattering effect in the simulation results proved the robustness and effectiveness of the proposed method.

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An Enhanced Robust Fault Tolerant Control Based on an Adaptive Fuzzy PID-Nonsingular Fast Terminal Sliding Mode Control for Uncertain Nonlinear Systems

Cited by 113 publications

References 63 publications

Adaptive neural integral sliding‐mode control for tracking control of fully actuated uncertain surface vessels

Adaptive neural integral sliding‐mode control for tracking control of fully actuated uncertain surface vessels

Integrated optimization of structure and control parameters for the height control system of a vertical spindle cotton picker

Robust Dynamic Sliding Mode Control-Based PID–Super Twisting Algorithm and Disturbance Observer for Second-Order Nonlinear Systems: Application to UAVs

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