China Mechanical Engineering ›› 2026, Vol. 37 ›› Issue (6): 1410-1417.DOI: 10.3969/j.issn.1004-132X.2026.06.014
Previous Articles Next Articles
CHEN Ruiguo1,2(
), AIYITI Wurikaixi1,2(
)
Received:2025-08-25
Online:2026-06-25
Published:2026-07-17
Contact:
AIYITI Wurikaixi
通讯作者:
乌日开西·艾依提
作者简介:陈瑞国,男,2001 年生,硕士研究生。研究方向为 3D 打印技术。E-mail:1040889415@qq.com基金资助:CLC Number:
CHEN Ruiguo, AIYITI Wurikaixi. A Dual-tracking Strategy for Interlayer Deviation Optimization in Mobile Robotic 3D Printing[J]. China Mechanical Engineering, 2026, 37(6): 1410-1417.
陈瑞国, 乌日开西·艾依提. 面向移动机器人3D打印层间偏差优化的双寻迹策略研究[J]. 中国机械工程, 2026, 37(6): 1410-1417.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.cmemo.org.cn/EN/10.3969/j.issn.1004-132X.2026.06.014
| 组别 | 打印层 | 寻迹状态 |
|---|---|---|
| 对照组 | 第一层 | 单一底盘寻迹 |
| 第二层 | 单一底盘寻迹 | |
| 实验组 | 第一层 | 单一底盘寻迹 |
| 第二层 | 底盘-机械臂协同寻迹 |
Tab.1 Experimental scheme for optimizing interlayer deviation in dual-tracking mobile 3D printing
| 组别 | 打印层 | 寻迹状态 |
|---|---|---|
| 对照组 | 第一层 | 单一底盘寻迹 |
| 第二层 | 单一底盘寻迹 | |
| 实验组 | 第一层 | 单一底盘寻迹 |
| 第二层 | 底盘-机械臂协同寻迹 |
| 被控变量 | 比例 增益 | 积分 增益 | 微分 增益 | 前馈 增益 | 采样 周期T/ms |
|---|---|---|---|---|---|
| 角速度 | 1.8 | 0.003 | 0.22 | 0.89 | 10 |
Tab.2 Chassis tracking PID controller optimization parameters
| 被控变量 | 比例 增益 | 积分 增益 | 微分 增益 | 前馈 增益 | 采样 周期T/ms |
|---|---|---|---|---|---|
| 角速度 | 1.8 | 0.003 | 0.22 | 0.89 | 10 |
| 组别 | 寻迹方法 | 平均偏差/mm | 标准差/mm | RMSE/mm |
|---|---|---|---|---|
| 1 | 底盘寻迹第一层 | 7.5 | 3.2 | 8.1 |
| 底盘寻迹第二层 | 4.9 | 3.4 | 6.0 | |
| 底盘寻迹第一层 | 2.7 | 1.9 | 3.3 | |
底盘-机械臂 协同寻迹第二层 | 7.9 | 7.5 | 10.9 | |
| 最小偏差 | 2.7 | 1.9 | 3.3 | |
| 最大偏差 | 7.9 | 7.5 | 10.9 | |
| 2 | 底盘寻迹第一层 | 5.4 | 2.9 | 6.7 |
| 底盘寻迹第二层 | 2.6 | 2.4 | 3.6 | |
| 底盘寻迹第一层 | 2.4 | 2.0 | 3.1 | |
底盘-机械臂 协同寻迹第二层 | 8.0 | 4.9 | 9.4 | |
| 最小偏差 | 2.4 | 2.0 | 3.1 | |
| 最大偏差 | 8.0 | 4.9 | 9.4 | |
| 3 | 底盘寻迹第一层 | 6.9 | 6.9 | 9.8 |
| 底盘寻迹第二层 | 5.2 | 3.4 | 5.5 | |
| 底盘寻迹第一层 | 2.8 | 3.4 | 4.4 | |
底盘-机械臂 协同寻迹第二层 | 2.9 | 2.4 | 3.8 | |
| 最小偏差 | 2.8 | 2.4 | 3.8 | |
| 最大偏差 | 6.9 | 6.9 | 9.8 |
Tab.3 Deviation table between actual and theoretical trajectories of chassis tracking
| 组别 | 寻迹方法 | 平均偏差/mm | 标准差/mm | RMSE/mm |
|---|---|---|---|---|
| 1 | 底盘寻迹第一层 | 7.5 | 3.2 | 8.1 |
| 底盘寻迹第二层 | 4.9 | 3.4 | 6.0 | |
| 底盘寻迹第一层 | 2.7 | 1.9 | 3.3 | |
底盘-机械臂 协同寻迹第二层 | 7.9 | 7.5 | 10.9 | |
| 最小偏差 | 2.7 | 1.9 | 3.3 | |
| 最大偏差 | 7.9 | 7.5 | 10.9 | |
| 2 | 底盘寻迹第一层 | 5.4 | 2.9 | 6.7 |
| 底盘寻迹第二层 | 2.6 | 2.4 | 3.6 | |
| 底盘寻迹第一层 | 2.4 | 2.0 | 3.1 | |
底盘-机械臂 协同寻迹第二层 | 8.0 | 4.9 | 9.4 | |
| 最小偏差 | 2.4 | 2.0 | 3.1 | |
| 最大偏差 | 8.0 | 4.9 | 9.4 | |
| 3 | 底盘寻迹第一层 | 6.9 | 6.9 | 9.8 |
| 底盘寻迹第二层 | 5.2 | 3.4 | 5.5 | |
| 底盘寻迹第一层 | 2.8 | 3.4 | 4.4 | |
底盘-机械臂 协同寻迹第二层 | 2.9 | 2.4 | 3.8 | |
| 最小偏差 | 2.8 | 2.4 | 3.8 | |
| 最大偏差 | 6.9 | 6.9 | 9.8 |
| 组别 | 偏差类型 | 单一 底盘寻迹 | 底盘-机械臂 协同寻迹 | 优化率/% |
|---|---|---|---|---|
| 1 | 最大偏差/mm | 5.3 | 3.9 | 26.3 |
| 标准差/mm | 2.5 | 2.4 | 4.5 | |
| RMSE/mm | 5.9 | 4.6 | 22.0 | |
| 2 | 最大偏差/mm | 9.4 | 3.9 | 58.0 |
| 标准差/mm | 5.9 | 3.0 | 49.1 | |
| RMSE/mm | 11.1 | 5.0 | 55.2 | |
| 3 | 最大偏差/mm | 6.0 | 2.8 | 53.9 |
| 标准差/mm | 3.2 | 2.0 | 38.0 | |
| RMSE/mm | 6.8 | 3.4 | 49.9 |
Tab.4 Mechanical arm end layer deviation table
| 组别 | 偏差类型 | 单一 底盘寻迹 | 底盘-机械臂 协同寻迹 | 优化率/% |
|---|---|---|---|---|
| 1 | 最大偏差/mm | 5.3 | 3.9 | 26.3 |
| 标准差/mm | 2.5 | 2.4 | 4.5 | |
| RMSE/mm | 5.9 | 4.6 | 22.0 | |
| 2 | 最大偏差/mm | 9.4 | 3.9 | 58.0 |
| 标准差/mm | 5.9 | 3.0 | 49.1 | |
| RMSE/mm | 11.1 | 5.0 | 55.2 | |
| 3 | 最大偏差/mm | 6.0 | 2.8 | 53.9 |
| 标准差/mm | 3.2 | 2.0 | 38.0 | |
| RMSE/mm | 6.8 | 3.4 | 49.9 |
| 组别 | 偏差类型 | 单一 底盘寻迹 | 底盘-机械臂 协同寻迹 | 优化率/% |
|---|---|---|---|---|
| 1 | 最大偏差/mm | 32.8 | 4.9 | 85.2 |
| 标准差/mm | 5.6 | 1.6 | 71.4 | |
| RMSE/mm | 5.3 | 1.4 | 73.6 | |
| 2 | 最大偏差/mm | 39.5 | 12.7 | 67.9 |
| 标准差/mm | 10.1 | 2.5 | 75.2 | |
| RMSE/mm | 9.6 | 2.3 | 75.6 | |
| 3 | 最大偏差/mm | 64.1 | 8.7 | 86.4 |
| 标准差/mm | 13.2 | 2.1 | 83.8 | |
| RMSE/mm | 13.0 | 1.6 | 88.0 |
Tab.5 Extrusion filament layer deviation table
| 组别 | 偏差类型 | 单一 底盘寻迹 | 底盘-机械臂 协同寻迹 | 优化率/% |
|---|---|---|---|---|
| 1 | 最大偏差/mm | 32.8 | 4.9 | 85.2 |
| 标准差/mm | 5.6 | 1.6 | 71.4 | |
| RMSE/mm | 5.3 | 1.4 | 73.6 | |
| 2 | 最大偏差/mm | 39.5 | 12.7 | 67.9 |
| 标准差/mm | 10.1 | 2.5 | 75.2 | |
| RMSE/mm | 9.6 | 2.3 | 75.6 | |
| 3 | 最大偏差/mm | 64.1 | 8.7 | 86.4 |
| 标准差/mm | 13.2 | 2.1 | 83.8 | |
| RMSE/mm | 13.0 | 1.6 | 88.0 |
| [1] | BROWN N C, AMES D C, MUELLER J. Multimaterial Extrusion 3D Printing Printheads[J]. Nature Reviews Materials, 2025, 10(11): 807-825. |
| [2] | NEKIN JOSHUA R, SAKTHIVEL A R. Reinforced Polymer Composite Filaments in Fused Deposition Modeling of 3D Printing Technology: a Review[J]. Advanced Engineering Materials, 2025, 27(9): 2402509. |
| [3] | 蔺喜强, 霍亮, 苏铠, 等. 混凝土3D打印两层办公室的施工关键技术[J]. 混凝土, 2022(6): 161-170. |
| LIN Xiqiang, HUO Liang, SU Kai, et al. Construction Process of Two-story Building Using Concrete 3D Printing Technology[J]. Concrete, 2022(6): 161-170. | |
| [4] | BICI A, YUNITSYNA A. Analysis of 3D Printing Techniques for Building Construction: a Review[J]. Construction Robotics, 2023, 7(2): 107-123. |
| [5] | PAUL S C, van ZIJL G P A G, TAN M J, et al. A Review of 3D Concrete Printing Systems and Materials Properties: Current Status and Future Research Prospects[J]. Rapid Prototyping Journal, 2018, 24(4): 784-798. |
| [6] | 段珍华, 刘一村, 肖建庄, 等. 混凝土建筑3D打印技术工程应用分析[J]. 施工技术, 2021, 50(18): 15-20. |
| DUAN Zhenhua, LIU Yicun, XIAO Jianzhuang, et al. Practical Application Analysis of 3D Concrete Printing Technology[J]. Construction Technology, 2021, 50(18): 15-20. | |
| [7] | BARJUEI E S, CAPITANELLI A, BERTOLUCCI R, et al. Digital Workflow for Printability Checking and Prefabrication in Robotic Construction 3D Printing Based on Artificial Intelligence Planning[J]. Engineering Applications of Artificial Intelligence, 2024, 133: 108254. |
| [8] | PULQUERIO E C, BARBOSA G F, SHIKI S B. Robotic Additive Manufacturing System: Development of Suitable Range of Process Parameters for 3D Printing of a Large-sized Object in PLA Polymer[J]. Progress in Additive Manufacturing, 2025, 10(1): 887-898. |
| [9] | GOERTZEN T, NEEF T, SCHEFFLER P, et al. 3D Concrete Printing of Topological Interlocking Blocks[J]. Materials & Design, 2025, 254: 114049. |
| [10] | ZHAO Xuchuan, MA Wenjie, AIYITI W, et al. Investigation of Influence of Printing Modes on the Quality of 6-PSS FDM 3D Printed Thin-walled Parts[J]. Results in Engineering, 2023, 17: 100926. |
| [11] | 王相虎, 王宪伦, 武庆松. 移动机械臂运动规划方法研究综述[J]. 计算机测量与控制, 2024, 32(11): 1-8. |
| WANG Xianghu, WANG Xianlun, WU Qingsong. Review of Motion Planning Methods for Mobile Manipulators[J]. Computer Measurement & Control, 2024, 32(11): 1-8. | |
| [12] | YANG Hongjuan, LUO Xu, DUAN Chao, et al. Research on Multi-objective Point Path Planning for Mobile Inspection Robot Based on Multi-informed-rapidly Exploring Random Tree[J]. Engineering Applications of Artificial Intelligence, 2025, 151: 110645. |
| [13] | KEBEDE G A, GELAW A A, ANDUALEM H, et al. Review of the Characteristics of Mobile Robots for Health Care Application[J]. International Journal of Intelligent Robotics and Applications, 2024, 8(2): 480-502. |
| [14] | 钱俊, 沈洪垚, 潘凌楠, 等. 基于机器视觉的移动缝补技术开发大尺寸构件3D打印设备[J]. 实验技术与管理, 2023, 40(6): 147-154. |
| QIAN Jun, SHEN Hongyao, PAN Lingnan, et al. Development of 3D Printing Equipment for Large-scale Components Based on Machine Vision-based Mobile Sewing Technology[J]. Experimental Technology and Management, 2023, 40(6): 147-154. | |
| [15] | FURET B, POULLAIN P, GARNIER S. 3D Printing for Construction Based on a Complex Wall of Polymer-foam and Concrete[J]. Additive Manufacturing, 2019, 28: 58-64. |
| [16] | 刘铭哲, 徐光辉, 唐堂, 等. 激光雷达SLAM算法综述[J]. 计算机工程与应用, 2024, 60(1): 1-14. |
| LIU Mingzhe, XU Guanghui, TANG Tang, et al. Review of SLAM Based on Lidar[J]. Computer Engineering and Applications, 2024, 60(1): 1-14. | |
| [17] | FAN Zheng, ZHANG Lele, WANG Xueyi, et al. LiDAR, IMU, and Camera Fusion for Simultaneous Localization and Mapping: a Systematic Review[J]. Artificial Intelligence Review, 2025, 58(6): 174. |
| [18] | RASTEGARPANAH M, ASIF M E, BUTT J, et al. Mobile Robotics and 3D Printing: Addressing Challenges in Path Planning and Scalability[J]. Virtual and Physical Prototyping, 2024, 19(1): e2433588. |
| [19] | LI Shuai, LAN Tian, NGUYEN H X, et al. Frontiers in Construction 3D Printing: Self-monitoring, Multi-robot, Drone-assisted Processes[J]. Progress in Additive Manufacturing, 2025, 10(4): 2001-2030. |
| [20] | SUSTAREVAS J, KANOULAS D, JULIER S. Autonomous Mobile 3D Printing of Large-scale Trajectories[C]∥2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022: 6561-6568. |
| [21] | ALHIJAILY A, ALQARNI A, KILIC Z M, et al. Development of a Mobile 3D Printer and Comparative Evaluation Against Traditional Gantry Systems[J]. Journal of Intelligent Manufacturing, 2025, 36(6): 3783-3800. |
| [22] | TIRYAKI M E, ZHANG Xu, PHAM Q C. Printing-while-moving: a New Paradigm for Large-scale Robotic 3D Printing[C]∥2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019: 2286-2291. |
| [23] | LACHMAYER L, MÜLLER N, HERLYN T, et al. Volume Flow-based Process Control for Robotic Additive Manufacturing Processes in Construction[C]∥2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, 2023: 1-6. |
| [24] | ZHANG Ketao, CHERMPRAYONG P, XIAO Feng, et al. Aerial Additive Manufacturing with Multiple Autonomous Robots[J]. Nature, 2022, 609(7928): 709-717. |
| [1] | XU Hanxin, LIU Li, CHEN Xing, WANG Jing. Augmented Reality-enabled Motion Monitoring and Interaction System for Mobile Robots [J]. China Mechanical Engineering, 2026, 37(6): 1442-1450. |
| [2] | CAO Yiran, GAO Lei, WU Mengli, WANG Xuhao, PENG Cong, GUO Zhiyong, LIANG Yao. Prescribed Performance Visual Servo Control Strategy for Mobile Robots Integrating Preview Mechanism [J]. China Mechanical Engineering, 2026, 37(5): 1218-1225. |
| [3] | XU Wan, CHENG Zhao, XIA Ruidong, CHEN Hancheng. An Adaptive Robust Unscented Kalman Filter Localization Algorithm Based on Dynamic Residual [J]. China Mechanical Engineering, 2023, 34(21): 2607-2614. |
| [4] | WU Xing, YANG Junjie, TANG Kai, ZHAI Jingjing, LOU Peihuang. Hierarchical Path Planning for Mobile Robots Based on Hybrid Map [J]. China Mechanical Engineering, 2023, 34(05): 563-575. |
| [5] | LI Ronghua, YANG Jingshan, ZHENG Yufeng, ZHOU Wei. Design of Multi-link Independent Suspension Systems with Constant Wheel Track [J]. China Mechanical Engineering, 2023, 34(02): 148-156. |
| [6] | TIAN Mingrui, , YANG Hao, HU Yongbiao. Large-field and High-precision Dynamic Positioning Method of Indoor Mobile Robots [J]. China Mechanical Engineering, 2022, 33(02): 194-201. |
| [7] | LIU Mingyuan, CHEN Ping, MA Jianshe. Structural Optimization Design and Research of Direct-drive Quadruped Robots [J]. China Mechanical Engineering, 2021, 32(18): 2246-2253. |
| [8] | XIE Dongfu1;LUO Yufeng1,2;SHI Zhixin1;LIU Yande2. Research on Cooperative Modes and Tipping Stability of Multiple Mobile Robots [J]. China Mechanical Engineering, 2020, 31(20): 2472-2485. |
| [9] | LI Yang1,2,3;LIU Ziming1,2,4;CHEN Qingying1,2,3. Decoupling Active Caster Omnidirectional Mobile Robot Tracking Control Considering Slip Interferences [J]. China Mechanical Engineering, 2020, 31(18): 2247-2253. |
| [10] | WANG Hongbin1;HAO Ce1;ZHANG Ping1;ZHANG Mingquan1;YIN Pengheng1;ZHANG Yongshun2. Path Planning of Mobile Robots Based on A* Algorithm and Artificial Potential Field Algorithm [J]. China Mechanical Engineering, 2019, 30(20): 2489-2496. |
| [11] | BEI Xuying1,2;PING Xueliang1,2;GAO Wenyan1,2. Trajectory Tracking Control of Wheeled Mobile Robots under Longitudinal Slipping Conditions [J]. China Mechanical Engineering, 2018, 29(16): 1958-1964. |
| [12] | LI Taochang. Adaptive Sliding Mode Path Tracking Control of Agricultural Wheeled Mobile Robots [J]. China Mechanical Engineering, 2018, 29(05): 579-584,590. |
| [13] | XU Peipei, WANG Guoqing, ZHAI Jiaxing, LI Zhaolu, ZHANG Zhixin. Study on Key Technologies of Hybrid Controllers for Mobile Robots [J]. China Mechanical Engineering, 2017, 28(12): 1468-1473. |
| [14] | YE Jinhua, WU Haibin. Unified Adaptive Neural Network H∞ Control of Uncertain Wheeled Mobile Robots [J]. China Mechanical Engineering, 2017, 28(02): 150-155. |
| [15] | Zhu Qiguang, , Wang Ziwei , Chen Ying. Investigation and Application on Image Hierarchical Matching Algorithm Based on Global Feature and Local Feature [J]. China Mechanical Engineering, 2016, 27(16): 2211-2217. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||