Metal fused-coating additive manufacturing composite variable polarity tungsten inert gas (MFCAM & TIG) has the advantages of low cost and high efficiency. Aiming at the difficulty of extracting dimensional information under the arc, a laser band-pass composite filter sensing system is designed according to the intensity and spectral distribution characteristics of arc radiation in the manufacturing process. Aiming at the problem of precision control of forming parts, a fuzzy PID iterative learning strategy is proposed. The results show that the monitoring accuracy of the characteristic size of the deposition layer under the laser-assisted light source is 90.71 %. The error of the control system is less than 0.4 mm and the correction time is less than 3 s. The proposed control strategy improves the control accuracy and convergence speed, and the stable forming specimens by MFCAM & TIG are realized accurately.

金属熔敷添加剂制造复合可变极性钨极惰性气体（MFCAM＆TIG）具有成本低，效率高的优点。针对在电弧下提取尺寸信息的困难，根据制造过程中电弧辐射的强度和光谱分布特点设计了激光带通复合滤光片传感系统。针对成形件的精度控制问题，提出了一种模糊PID迭代学习策略。结果表明，激光辅助光源下沉积层特征尺寸的监测精度为90.71％。控制系统的误差小于0.4 mm，校正时间小于3 s。提出的控制策略提高了控制精度和收敛速度，