关键词: 自动纠偏, 粒子群, 模糊控制, 纠偏合力, 盾构, 导向偏差

Abstract: Controlling guide deviation in shield tunneling necessitates maintaining a stable shield propulsion speed and precise deviation control. To address this, a fuzzy tunneling deviation control algorithm utilizing particle swarm optimization(PSO) has been developed. Initially, fuzzy deviation control rules are formulated based on tunneling data and experience, which facilitate the output of both the correction force and the total propulsion force increment necessary for deviation control. Subsequently, the PSO algorithm calculates the target control pressure of the sectional cylinders, using the correction force and total propulsion force as optimization objectives. A proportionalintegralderivative controller then performs closedloop control of the cylinder pressure, ensuring stable operation of the shield tunneling deviation correction system. This system was applied and evaluated during the earth pressure balance shield tunneling on Nanchang metro line CREC 1182. Prior to ring propulsion, the deviation target for each ring and the target propulsion speed are preset. The system enables continuous automatic tunneling deviation control for each ring, maintaining a deviation error within ±2 mm for individual rings and an average error below ±1 mm across successive rings. The average fluctuation of the propulsion speed is kept within ±5 mm/min.

Key words: automatic deviation correction, particle swarm, fuzzy control, correction force, shield, guide deviation