Carbon fiber angular fabric can be used as a reinforced structural skeleton of composite materials and widely used in various fields because of its excellent characteristics of light weight, high strength and corrosion resistance. Aiming at the accuracy problem of warp tension control of carbon fiber angular loom, this paper proposes an event-triggered H∞ filter control strategy for networked warp tension. Firstly, the working principle of carbon fiber angular loom was analyzed, the dynamic analysis and modeling of the loom were carried out, and the Kelvin model was used to establish the dynamic tension model of the loom. Secondly, the network tension model of the loom was established, considering the network delay, the Bernoulli distribution sequence was used to describe the random packet loss and the event trigger mechanism was introduced. A delay-dependent Lyapunov-krasovskii functional is constructed. Finally, combining with shur complement, Jensen inequality and inverted convex combination, the H∞ performance condition and controller design method of the closed-loop system are established in the form of linear matrix inequalities. The simulation results show that the proposed controller has strong anti-interference ability and improves the control accuracy of the tension system.