关键词: 盾构掘进, 姿态控制, PID控制, 自适应控制, 模糊控制, 神经网络, 智能算法

Abstract: Based on 32 relevant studies retrieved from the China National Knowledge Infrastructure, the authors systematically analyze the research progress of shield tunneling attitude control technology in China by summarizing the primary characterization parameters and influencing factors of shield tunneling attitude and discussing the control principle using the shield hydraulic propulsion system as an example. Additionally, based on some cases of intelligent shield tunneling attitude control in China, the advantages, disadvantages, and application scenarios of technologies such as proportional-integral-derivative(PID) control, adaptive control, fuzzy control, neural network-based control, and intelligent algorithm-based control are summarized. Finally, the development directions for shield tunneling attitude control technology are prospected. Some findings are as follows: (1) The influencing factors of shield tunneling attitude primarily include geometric, stratum, and shield tunneling parameters. (2) Due to the complex tasks of advancing the shield and adjusting its attitude simultaneously in the shield propulsion system, the system parameters significantly impact the shield tunneling attitude and are critical in attitude control. (3) Unlike traditional PID control methods, integrating intelligent control methods with PID control can enhance the system′s response speed, accuracy, adaptability, and robustness. (4) Future research could focus on control algorithms based on multisource data fusion, developing control technologies driven by combining data and mechanisms, and strengthening the practicality of control technologies in real-world applications, achieving more precise and efficient control of the shield tunneling attitude.

Key words: shield tunneling, attitude control, proportional-integral-derivative control, adaptive control, fuzzy control, neural network; intelligent algorithm