The relationship between the ejection parameter and deployment quality has been well studied, and ejection-parameter optimization has been preliminary mentioned. Yu developed a net simulation method based on trivial truss element, which reduced the computational complexity. Zhai established a dynamic model of a tether-net system and proposed a capture-error compensation strategy using a feed-forward control method. Benvenuto and Carta set up a testing facility to characterize, validate, and test a net capture system simulator in a 0-g-affected environment. In the past few decades, some numerical and experimental studies on space-net capturing system were carried out. As for the uncontrollable deployment process, the design of the initial launch scheme is extremely important, which is the base for the effective capturing of the space-net system. The deploying quality can be improved by active control method such as space robot tied to the net’s corners, however, the system complexity will be inevitably increased. The deploying quality of the net directly determines whether the net could effectively capture the target or not. The working process of the space-net capturing system can be divided into two processes: deployment and capture. However, the advantage is that the capture process is not constrained by the target debris shape, attitude, and spin rate, thereby reducing the complexity in dealing with an uncooperative target, as stated by Wormnes in literature. The disadvantage of space-net capturing is that flexible net dynamics adds more complexity to system design and control. Space-net capturing is one of the most promising approaches considered for ADR. An increasing consensus has been agreed that active debris removal (ADR) is required to ensure long-term sustainability of space resources. The large accumulation of human-made space debris in orbit is seen as a threat to acquisition and use of space resources in the long term.
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