A Distributed Event-Triggered Fixed-Time Fault-Tolerant Secondary Control Framework of Islanded AC Microgrid Against Faults and Communication Constraints

2022 ◽  
pp. 1-1
Author(s):  
Ziqiang Wang ◽  
Wang Jie ◽  
Meiling Ma ◽  
Haosen Yang ◽  
Dawei Chen ◽  
...  
Keyword(s):  
Fault Tolerant ◽  
Fixed Time ◽  
Communication Constraints ◽  
Secondary Control ◽  
Control Framework ◽  
Event Triggered ◽  
Ac Microgrid

Distributed Event-Triggered Fixed-Time Fault-Tolerant Secondary Control of Islanded AC Microgrid

2022 ◽  
pp. 1-1
Author(s):  
Ziqiang Wang ◽  
Wang Jie ◽  
Meiling Ma ◽  
Haosen Yang ◽  
Dawei Chen ◽  
...  
Keyword(s):  
Fault Tolerant ◽  
Fixed Time ◽  
Secondary Control ◽  
Event Triggered ◽  
Ac Microgrid

Adaptive neural fault-tolerant control for course tracking of unmanned surface vehicle with event-triggered input

2021 ◽  
pp. 095965182110131
Author(s):  
Guoqing Zhang ◽  
Shen Gao ◽  
Jiqiang Li ◽  
Weidong Zhang
Keyword(s):  
Neural Control ◽  
Fault Tolerant ◽  
Lyapunov Stability Theory ◽  
Actuator Faults ◽  
Closed Loop System ◽  
External Disturbances ◽  
Unmanned Surface Vehicle ◽  
Adaptive Parameters ◽  
Control Gain ◽  
Event Triggered

This study investigates the course-tracking problem for the unmanned surface vehicle in the presence of constraints of the actuator faults, control gain uncertainties, and environmental disturbance. A novel event-triggered robust neural control algorithm is proposed by fusing the robust neural damping technique and the event-triggered input mechanism. In the algorithm, no prior information of the system model about the unknown yawing dynamic parameters and unknown external disturbances is required. The transmission burden between the controller and the actuator could be relieved. Moreover, the control gain-related uncertainties and the unknown actuator faults are compensated through two updated online adaptive parameters. Sufficient effort has been made to verify the semi-global uniform ultimate bounded stability for the closed-loop system based on Lyapunov stability theory. Finally, simulation results are presented to illustrate the effectiveness and superiority of the proposed algorithm.

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