Implicit Lyapunov function-based tracking control of a novel ammunition autoloader with base oscillation and payload uncertainty

2016 ◽  
Vol 87 (2) ◽  
pp. 741-753 ◽  
Author(s):  
Guo Yufei ◽  
Hou Baolin
2018 ◽  
Vol 51 (22) ◽  
pp. 471-478
Author(s):  
Hrishik Mishra ◽  
Marco De Stefano ◽  
Alessandro Massimo Giordano ◽  
Christian Ott

Author(s):  
Ben Niu ◽  
Georgi M. Dimirovski ◽  
Jun Zhao

In this paper, we address the tracking control problem for switched nonlinear systems in strict-feedback form with time-varying output constraints. To prevent the output from violating the time-varying constraints, we employ a Barrier Lyapunov Function, which relies explicitly on time. Based on the simultaneous domination assumption, we design a controller for the switched system, which guarantees that asymptotic tracking is achieved without transgression of the constraints and all closed-loop signals remain bounded under arbitrary switchings. The effectiveness of the proposed results is illustrated using a numerical example.


2021 ◽  
Author(s):  
Yufei Guo ◽  
Baolin Hou ◽  
Shengyue Xu ◽  
Ruilin Mei ◽  
Zhigang Wang ◽  
...  

Abstract Oscillatory base manipulators (OBMs) are a kind of mechanical systems suffering from unexpected base oscillations. The oscillations affect tremendously system stability. Various control methods have been explored, but most of them require measurement or prediction of the oscillations. This study is concerned with a novel OBM-the autoloader, which are used in modern, autonomous main battle tanks. The base oscillation of the autoloader is hard to be obtained in practice. Furthermore, control synthesis for autoloaders is complicated with intrinsic payload uncertainty and actuator saturation. To address these issues, a novel robust control scheme is proposed in this work relying on the implicit Lyapunov method. Moreover, a novel two-Degree-of-Freedom manipulator operating on a vibrating base is constructed to realize the proposed control. To the best of the authors' knowledge, this is the first study considering both control and hardware implementation for the OBM-like autoloaders. Experimental results demonstrate that, although without prior information of the base oscillation, the proposed controller exhibits good robustness against the base oscillation and payload uncertainty.


2021 ◽  
Vol 143 (8) ◽  
Author(s):  
Yan Gu ◽  
Chengzhi Yuan

Abstract This paper introduces an adaptive robust trajectory tracking controller design to provably realize stable bipedal robotic walking under parametric and unmodeled uncertainties. Deriving such a controller is challenging mainly because of the highly complex bipedal walking dynamics that are hybrid and involve nonlinear, uncontrolled state-triggered jumps. The main contribution of the study is the synthesis of a continuous-phase adaptive robust tracking control law for hybrid models of bipedal robotic walking by incorporating the construction of multiple Lyapunov functions into the control Lyapunov function. The evolution of the Lyapunov function across the state-triggered jumps is explicitly analyzed to construct sufficient conditions that guide the proposed control design for provably guaranteeing the stability and tracking the performance of the hybrid system in the presence of uncertainties. Simulation results on fully actuated bipedal robotic walking validate the effectiveness of the proposed approach in walking stabilization under uncertainties.


2014 ◽  
Vol 635-637 ◽  
pp. 1378-1381 ◽  
Author(s):  
Hong Yang ◽  
Huan Huan Lü ◽  
Le Zhang

This paper investigates the problems of tracking control for switched fuzzy systems. Based on the state-dependent switching method, sufficient conditions for the solvability of the tracking control problem are given. We use single Lyapunov function technique to design a tracking control law. The controller design problem can be solved efficiently. A numerical example is given to show the effectiveness of our method.


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