Adaptive fault-tolerant tracking control against actuator faults

Author(s):  
Dan Ye ◽  
Guang-Hong Yang
2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Gang Chen ◽  
Qing Lin

This paper investigates the cooperative tracking control problem for networked uncertain Lagrange systems with a leader-follower structure on digraphs. Since the leader’s information is only available to a portion of the followers, finite-time observers are designed to estimate the leader’s velocity. Based on the estimated velocity information and the universal approximation ability of fuzzy logic systems, a distributed adaptive fuzzy tracking control protocol is first proposed for the fault-free Lagrange systems. Then, the actuator faults are considered and a distributed fault-tolerant controller is presented. Based on graph theory and Lyapunov theory, the convergence analyses for the proposed algorithms are provided. The development in this paper is suitable for the general directed communication topology. Numerical simulation results are presented to show the closed-loop performance of the proposed control law and illustrate its robustness to actuator faults and external disturbances.


2017 ◽  
Vol 50 (1) ◽  
pp. 5250-5255 ◽  
Author(s):  
Jianglin Lan ◽  
Ron J. Patton ◽  
Elisabetta Punta

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Ran Zhen ◽  
Yating Jin ◽  
Xiaojing Wu ◽  
Xueli Wu ◽  
Xuan Lv

This paper investigates fault-tolerant time-varying formation tracking control problems for unmanned aerial vehicle (UAV) swarm systems with switching topologies. Actuator faults such as loss of effectiveness and bias fault are mainly considered. Firstly, based on graph theory, an adaptive fault-tolerant time-varying formation tracking control protocol is constructed with adaptive updating parameters and the relative information of the neighboring UAVs, and the feasibility condition for formation tracking is given. The control protocol does not depend on the information of the actuator fault boundary by using adaptive technology. Then, by constructing a reasonable Lyapunov function and solving the algebraic Riccati equation, the stability of the designed controller is proved. For UAV swarm systems with switching topologies and actuator faults, the formation tracking control protocol designed is adopted to enable the followers form the desired time-varying formation and track the leader’s status at the same time. Finally, the simulation examples are given to illustrate the effectiveness of the theoretical results.


2020 ◽  
Vol 25 (3) ◽  
pp. 48
Author(s):  
Francisco-Ronay López-Estrada ◽  
Oscar Santos-Estudillo ◽  
Guillermo Valencia-Palomo ◽  
Samuel Gómez-Peñate ◽  
Carlos Hernández-Gutiérrez

The main aim of this paper is to propose a robust fault-tolerant control for a three degree of freedom (DOF) mechanical crane by using a convex quasi-Linear Parameter Varying (qLPV) approach for modeling the crane and a passive fault-tolerant scheme. The control objective is to minimize the load oscillations while the desired path is tracked. The convex qLPV model is obtained by considering the nonlinear sector approach, which can represent exactly the nonlinear system under the bounded nonlinear terms. To improve the system safety, tolerance to partial actuator faults is considered. Performance requirements of the tracking control system are specified in an H∞ criteria that guarantees robustness against measurement noise, and partial faults. As a result, a set of Linear Matrix Inequalities is derived to compute the controller gains. Numerical experiments on a realistic 3 DOF crane model confirm the applicability of the control scheme.


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