Adaptive sliding mode stabilization and positioning control for a multi-vectored thrust airship with input saturation considered

2018 ◽  
Vol 40 (15) ◽  
pp. 4208-4219 ◽  
Author(s):  
Chang Xiao ◽  
Yueying Wang ◽  
Pingfang Zhou ◽  
Dengping Duan

This article addresses a position and attitude stabilization control scheme for a class of multi-vectored airship with parameter uncertainty and input saturation considered. Airship parameters such as the inertia matrix and aerodynamic coefficients are hard to measure due to the uneven gas distribution and unforeseen shape changing. The propellers airships use often have saturation issues. These phenomena are unavoidable. To meet these challenges, we propose two adaptive sliding mode control methods. Both achieve airship position and attitude stabilization without the prior knowledge of the inertia matrix or aerodynamic coefficients. The second algorithm also takes input saturation into consideration. Simulations illustrate the effectiveness of our scheme. Compared with former works, our method achieves position, attitude, velocity and angular velocity stabilization with inertia matrix uncertainty, aerodynamic coefficient uncertainty, and input saturation.

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Maode Yan ◽  
Jiacheng Song ◽  
Panpan Yang ◽  
Lei Zuo

This paper investigates the vehicle platoon control problems with both velocity constraints and input saturation. Firstly, radial basis function neural networks (RBF NNs) are employed to approximate the unknown driving resistance of a vehicle’s dynamic model. Then, a bidirectional topology, where vehicles can only communicate with their direct preceding and following neighbors, is used to depict the relationship among the vehicles in the platoon. On this basis, a neural adaptive sliding-mode control algorithm with an anti-windup compensation technique is proposed to maintain the vehicle platoon with desired distance. Moreover, the string stability and the strong string stability of the whole vehicle platoon are proven through the stability theorem. Finally, numerical simulations verify the feasibility and effectiveness of the proposed control method.


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