By introducing the time slotted channel hopping mode and IPv6 protocol, the industrial Internet of Things 6TiSCH exhibits significant advantages in supporting massive node connectivity, deterministic and reliable transmission, and low-power operation. While the defined 6TiSCH operation sublayer provides a standardized scheduling execution process for user-defined scheduling strategies, it still faces the challenge of personalized design for upper-layer scheduling functions ( i. e. , decision entities ) in different application scenarios. In this paper, the control theory is introduced into the scheduling application of the deterministic industrial wireless network, the communication resource control between distributed nodes is generalized as a closed-loop control problem, the principles of resource scheduling in 6TiSCH network are elucidated by combing the classic PID control concept. A distributed PID scheduling algorithm for 6TiSCH network, which is specifically tailored for burst traffic scenarios, is designed, and an upper-layer scheduling function that is friendly to burst traffic is constructed. The experiments conducted on an OpenMote-B based 6TiSCH network platform demonstrate that the proposed method enables adaptive scheduling of communication resources between nodes with dynamically changing traffic demands, and presents rapid responses especially for various types of burst traffic.