An adaptive sliding mode observer based near-optimal OER tracking control approach for PEMFC under dynamic operation condition

2021 ◽  
Author(s):  
Yun Zhu ◽  
Jianxiao Zou ◽  
Shuai Li ◽  
Chao Peng
Keyword(s):  
Tracking Control ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Operation Condition ◽  
Control Approach ◽  
Dynamic Operation ◽  
Adaptive Sliding Mode

scholarly journals Sliding Mode with Adaptive Control of Robot Manipulator Trajectory Tracking using Neural Network Approximation

2021 ◽  
Vol 10 (6) ◽  
pp. 120
Author(s):  
Monisha Pathak* ◽  
◽  
Dr. Mrinal Buragohain ◽  
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Sliding Mode ◽  
Robot Manipulator ◽  
Robotic Manipulator ◽  
Adaptive Sliding Mode Control ◽  
Control Approach ◽  
Adaptive Sliding Mode

This paper briefly discusses about the Robust Controller based on Adaptive Sliding Mode Technique with RBF Neural Network (ASMCNN) for Robotic Manipulator tracking control in presence of uncertainities and disturbances. The aim is to design an effective trajectory tracking controller without any modelling information. The ASMCNN is designed to have robust trajectory tracking of Robot Manipulator, which combines Neural Network Estimation with Adaptive Sliding Mode Control. The RBF model is utilised to construct a Lyapunov function-based adaptive control approach. Simulation of the tracking control of a 2dof Robotic Manipulator in the presence of unpredictability and external disruption demonstrates the usefulness of the planned ASMCNN.

Explicit nonlinear model predictive control tracking control based on a sliding mode observer for a quadrotor subject to disturbances

2019 ◽  
Vol 42 (2) ◽  
pp. 214-227 ◽  
Author(s):  
Nadia Miladi ◽  
Habib Dimassi ◽  
Salim Hadj Said ◽  
Faouzi M’Sahli
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Sliding Mode ◽  
High Gain ◽  
Sliding Mode Observer ◽  
Nonlinear Model Predictive Control ◽  
Control Approach

In this paper, we propose an explicit nonlinear model predictive control (ENMPC) method based on a robust observer to solve the trajectory tracking problem for outdoor quadrotors. We take into consideration the external aerodynamic disturbances present in the dynamics of the Newton-Euler quadrotor model. To overcome the effects of these disturbances, a high gain observer combined with a first order sliding mode observer are proposed to estimate both the states and the unknown disturbances using the only positions and angular measurements of the quadrotor. The estimated signals are then used by the predictive controller in order to ensure the trajectory tracking objective. Despite the presence of bounded disturbances, the convergence of the composite controller (ENMPC technique with the latter observers) is guaranteed through a stability analysis. Theoretical results are validated with some numerical simulations showing the good performances of the proposed tracking control approach.

Tracking Control of a Linear Motor Positioner based on Barrier Function Adaptive Sliding Mode

2021 ◽  
pp. 1-1
Author(s):  
Ke Shao ◽  
Jinchuan Zheng ◽  
Hai Wang ◽  
Xueqian Wang ◽  
Renquan Lu ◽  
...  
Keyword(s):  
Barrier Function ◽  
Tracking Control ◽  
Sliding Mode ◽  
Linear Motor ◽  
Adaptive Sliding Mode

Aero‐Engine DCS Fault‐Tolerant Control with Markov Time Delay Based On Augmented Adaptive Sliding Mode Observer

2018 ◽  
Vol 22 (2) ◽  
pp. 788-802
Author(s):  
Ledi Zhang ◽  
Shousheng Xie ◽  
Yu Zhang ◽  
Litong Ren ◽  
Bin Zhou ◽  
...  
Keyword(s):  
Time Delay ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Sliding Mode Observer ◽  
Adaptive Sliding Mode ◽  
Aero Engine
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