An Adaptive Neural Network Fast Terminal Sliding Mode Controller for Hovering Motion of Underwater Vehicles

Author(s):  
Xiaoshuang Zhang ◽  
Baoqi Wu
Author(s):  
Yu Ma ◽  
Yuanli Cai ◽  
Zhenhua Yu

In this paper, a novel constrained nonsingular fast terminal sliding mode control scheme based on adaptive neural network disturbance observer is proposed for a flexible air-breathing hypersonic vehicle in the presence of diverse disturbances and actuator constraints. Firstly, velocity and altitude subsystems in the strict feedback formulations are obtained by decomposing the longitudinal dynamics of flexible air-breathing hypersonic vehicle, while uncertainties with regard to flexible effects, aerodynamic parameter uncertainties, modeling errors, and external disturbances are formed as the lumped disturbances which are excellently estimated by the proposed adaptive neural network disturbance observer with the adaptive regulation laws of weight matrices. Then based on the nonsingular fast terminal sliding mode control, the proposed scheme integrated with adaptive neural network disturbance observer is developed to design the controllers with nonsingularity and fast convergent rate in order to provide robust and fast tracking performance of velocity and altitude. Furthermore, to tackle the saturation effects caused by the constraints of actuators, the auxiliary systems constructed in the proposed scheme are conducted to compensate the desired controllers timely. Lyapunov stability analyses prove that the stable tracking errors of velocity and altitude are bounded with the sufficiently small regions around zero even when flexible air-breathing hypersonic vehicle is subject to lumped disturbances and actuator constraints. Finally, the contrastive simulation results demonstrate that the proposed scheme provides the superior tracking performance and the effectiveness in tackling actuator constraints and counteracting lumped disturbances.


2013 ◽  
Vol 427-429 ◽  
pp. 1179-1182
Author(s):  
Sheng Bin Hu ◽  
Jin Yuan Xu ◽  
Xuan Wu ◽  
Chi Zhang ◽  
Yi Hao He

A fast terminal fuzzy sliding mode control scheme for the attitude of flapping wing micro aerial vehicle is proposed in this paper. Based on the feedback linearization technique, a fast terminal sliding mode controller is designed. To diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by using Lyapunov theory. Simulation results show that the proposed control scheme is effective.


Author(s):  
Jinwei Sun ◽  
JingYu Cong ◽  
Liang Gu ◽  
Mingming Dong

As the possibility of faults in active suspension actuators are higher and more severe compared to other components, this study presents a fault-tolerant control approach based on the second-order sliding mode control method. The aim of the controller is to improve riding comfort, guarantee handling stability, and provide adequate suspension stroke in the presence of disturbances and actuator faults. A nonlinear full-vehicle suspension system and hydraulic actuator with nonlinear characteristics are adopted for accurate control. Firstly, a nonlinear sliding manifold based on a nonsingular fast terminal sliding mode controller is introduced to suppress the sprung mass heave, pitch, and roll motions arising from road disturbances. Secondly, a second-order sliding mode-based super twisting controller is utilized to track the desired forces generated by the nonsingular fast terminal sliding mode controller with actuator faults and uncertainties. The controllers are robust against disturbances, uncertainties, and faults. Moreover, the stability of the super twisting controller is proved by the strong Lyapunov functions. Finally, numerical simulations are performed to demonstrate the effectiveness of the controller. Four different conditions, random road profile, bump road excitation, single-wheel bump excitation, and partial faults are considered. The main contributions of this study are: (1) combination of the above algorithms to deal with actuator faults and improve active suspension performance; (2) the controller proposed in this study has a simple structure. Simulation results indicate that the nonsingular fast terminal sliding mode super twisting controller can guarantee the performance of the closed-loop system under both faulty and healthy conditions.


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