Position tracking control of a helicopter in ground effect using nonlinear disturbance observer-based incremental backstepping approach

2018 ◽  
Vol 81 ◽  
pp. 167-178 ◽  
Author(s):  
Jinshuo Hu ◽  
Jianzhe Huang ◽  
Zhenxing Gao ◽  
Hongbin Gu
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xia Liu ◽  
Dandan Liu ◽  
Hao Sheng

For nonlinear coupled robotic system subject to matched and mismatched disturbances, this paper designs an adaptive disturbance observer-based exponential sliding mode controller to achieve position tracking. Firstly, matched disturbance, mismatched disturbance, and the derivative of mismatched disturbance are defined as the lumped disturbance in robotic system. Secondly, a nonlinear disturbance observer is constructed to estimate the lumped disturbance, and an adaptive law is proposed to estimate the bound of the lumped disturbance. Finally, an exponential sliding mode controller is derived by combining the nonlinear disturbance observer and exponential convergence law. Stability and tracking performance of the robotic system is analyzed via Lyapunov function approach. Simulation results show that, with the proposed approach, both matched and mismatched disturbances in robotic system can be effectively depressed while achieving position tracking.


Author(s):  
Qirong Tang ◽  
Yinghao Li ◽  
Ruiqin Guo ◽  
Daopeng Jin ◽  
Yang Hong ◽  
...  

To improve the performance of autonomous underwater vehicle in trajectory tracking control, which is subject to system uncertainties and time-varying external disturbances, a nonlinear disturbance observer-based sliding mode controller is proposed in the study. First, a reaching law with a special power function and a hyperbolic tangent function is presented. Then an improved sliding mode controller based on the new reaching law is combined to decrease the reaching time and avoid chattering during the trajectory tracking control. Furthermore, to reduce the influence of the system uncertainties and external disturbances, a nonlinear disturbance observer is introduced to identify them. The error asymptotic convergence of the trajectory tracking control is proved by the Lyapunov-like function. Finally, under different environmental disturbances, plenty of simulations are carried out to verify the efficiency and robustness of the proposed method. Results show that when it is tracking different trajectories, the proposed method can suppress the chattering and reduce the disturbances effectively, while ensuring tracking performance.


Mechatronics ◽  
2015 ◽  
Vol 27 ◽  
pp. 47-56 ◽  
Author(s):  
Kai Guo ◽  
Jianhua Wei ◽  
Jinhui Fang ◽  
Ruilin Feng ◽  
Xiaochen Wang

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