Abstract In this paper, we investigate the dual-channel event-triggered deployment control for the space tethered system with intermittent output. Two different dynamic event-triggered mechanisms are designed to implement the event-based state sampling and the event-based input sampling, in which the data transmission frequencies are reduced at the dual channel, namely sensor-to-controller and controller-to-actuator. Then, the neural network (NN) state observer based on the intermittent output is designed to estimate the unmeasurable state under external disturbance, and the observer-based sliding mode controller is designed. Furthermore, because of the non-periodic sampling of the state signal and the output signal, the closed-loop system is proved via the analysis of the hybrid system, and the Zeno behavior is avoidance under these two event-triggered conditions. Finally, the simulation tests are implemented to verify the effectiveness of the proposed scheme.
Highlights A control scheme incorporating a dual-channel event-triggered mechanism is investigated. A neural network-based state observer on intermittent output is designed. Two dynamic event-triggered mechanisms are designed to reduce the event-triggered numbers at two channels.
Neural learning-based dual channel event-triggered deployment control of space tethered system with intermittent output
Acta Astronautica ; 213 ; 537-546
2023-09-20
10 pages
Article (Journal)
Electronic Resource
English