{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T20:39:11Z","timestamp":1773520751902,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>To improve the quality and efficiency of robot grinding, a design and a control algorithm for a robot used for grinding the surfaces of large, curved workpieces with unknown parameters, such as wind turbine blades, are proposed herein. Firstly, the structure and motion mode of the grinding robot are determined. Secondly, in order to solve the problem of complexity and poor adaptability of the algorithm in the grinding process, a force\/position hybrid control strategy based on fuzzy PID is proposed which greatly improves the response speed and reduces the error of the static control strategy. Compared with normal PID, fuzzy PID has the advantages of variable parameters and strong adaptability; the hydraulic cylinder used to adjust the angle of the manipulator can control the speed offset within 0.27 rad\/s, and the grinding process can be carried out directly without obtaining the specific model of the surface to be machined. Finally, the experiments are carried out, the grinding force and feed speed are maintained within the allowable error range of the expected value, and the results verify the feasibility and effectiveness of the position tracking and constant force control strategy in this paper. The surface roughness of the blade is maintained within Ra = 2~3 \u03bcm after grinding, which proves that the grinding quality meets the requirements of the best surface roughness required for the subsequent process.<\/jats:p>","DOI":"10.3390\/s23104702","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T09:56:18Z","timestamp":1683885378000},"page":"4702","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Research on Surface Tracking and Constant Force Control of a Grinding Robot"],"prefix":"10.3390","volume":"23","author":[{"given":"Xiaohua","family":"Shi","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao 066000, China"}]},{"given":"Mingyang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China"}]},{"given":"Yuehu","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao 066000, China"}]},{"given":"Shangyu","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao 066000, China"},{"name":"Suzhou Huichuan Control Technology Co., Ltd., Suzhou 215000, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.rser.2018.08.044","article-title":"Development of wind power industry in China: A comprehensive assessment","volume":"97","author":"Dai","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Liu, Y.D., and Wang, J. (2021, January 9\u201311). The SWOT Analysis and Countermeasure Research on the Development of Wind Power Industry in China. Proceedings of the IOP Conference Series: Earth and Environmental Science, Chengdu, China.","DOI":"10.1088\/1755-1315\/831\/1\/012015"},{"key":"ref_3","first-page":"302","article-title":"Study on sand grinding technology of wind turbine blade surface","volume":"42","author":"Chen","year":"2021","journal-title":"Acta Energ. Sol. Sin."},{"key":"ref_4","first-page":"114","article-title":"Design and development of an efficient and adaptive grinding head system for a new type of wind turbine blade automatic grinding robot","volume":"12","author":"Yan","year":"2021","journal-title":"Compos. Sci. Eng."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1007\/s40436-017-0174-9","article-title":"A wheel-type in-pipe robot for grinding weld beads","volume":"5","author":"Xu","year":"2017","journal-title":"Adv. Manuf."},{"key":"ref_6","unstructured":"Ma, W.C. (2019). Design and Research on Constant Force Control Device for Robot Grinding. [Master\u2019s Thesis, Huazhong University of Science & Technology]."},{"key":"ref_7","unstructured":"Xiao, M. (2020). Research on Constant Force Control Methods in Robot Grinding Process. [Ph.D. Thesis, South China University of Technology]."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Zhang, T., Yu, Y., and Zou, Y.B. (2019). An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor. Sensors, 19.","DOI":"10.3390\/s19071635"},{"key":"ref_9","first-page":"9489","article-title":"Sensorless force control of automated grinding\/deburring using an adjustable force regulation mechanism","volume":"2019","author":"Kuo","year":"2019","journal-title":"IEEE Int. Conf. Robot. Autom."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5231","DOI":"10.1007\/s12206-022-0936-6","article-title":"A fuzzy-based impedance control for force tracking in unknown environment","volume":"36","author":"Shen","year":"2022","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5855","DOI":"10.1007\/s00170-022-09599-x","article-title":"Constant force tracking using online stiffness and reverse damping force of variable impedance controller for robotic polishing","volume":"121","author":"Wahballa","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Yao, M.Y., Zheng, C.W., Wang, Z.H., Qian, J.Z., Xi, Q., and Kuang, S.L. (2021, January 22\u201324). Research on the method of skateboard edge grinding by combination of robot and pneumatic constant force grinding device. Proceedings of the Fourth International Conference on Mechanical, Electric and Industrial Engineering (MEIE2021), Kunming, China.","DOI":"10.1088\/1742-6596\/1983\/1\/012003"},{"key":"ref_13","first-page":"821","article-title":"Research on robot grinding force control method","volume":"13014","author":"Sun","year":"2021","journal-title":"Intell. Robot. Appl."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1108\/IR-10-2020-0229","article-title":"Force tracking control of grinding end effector based on backstepping + PID","volume":"49","author":"Dai","year":"2021","journal-title":"Ind. Robot. Int. J."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"102047","DOI":"10.1016\/j.rcim.2020.102047","article-title":"Hybrid active\/passive force control strategy for grinding marks suppression and profile accuracy enhancement in robotic belt grinding of turbine blade","volume":"67","author":"Xu","year":"2021","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s10846-022-01688-z","article-title":"Online Optimization Method of Controller Parameters for Robot Constant Force Grinding Based on Deep Reinforcement Learning Rainbow","volume":"105","author":"Zhang","year":"2022","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1108\/IR-01-2022-0021","article-title":"Robotic direct grinding for unknown workpiece contour based on adaptive constant force control and human\u2013robot collaboration","volume":"50","author":"Zhao","year":"2022","journal-title":"Ind. Robot."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2149","DOI":"10.1007\/s00170-022-10405-x","article-title":"PD-adaptive variable impedance constant force control of macro-mini robot for compliant grinding and polishing","volume":"124","author":"Wang","year":"2023","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"105283","DOI":"10.1016\/j.mechmachtheory.2023.105283","article-title":"Fuzzy gain scheduling PID control of a hybrid robot based on dynamic characteristics","volume":"184","author":"Han","year":"2023","journal-title":"Mech. Mach. Theory"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107449","DOI":"10.1016\/j.ijmecsci.2022.107449","article-title":"Contact force plan and control of robotic grinding towards ensuring contour accuracy of curved surfaces","volume":"227","author":"Li","year":"2022","journal-title":"Int. J. Mech. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1007\/978-3-031-13835-5_34","article-title":"Constant Force Control Method of Grinding Device","volume":"13457","author":"Jia","year":"2022","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1109\/TMECH.2022.3212911","article-title":"Vision-based Mobile Robotic Grinding for Large-scale Workpiece and Its Accuracy Analysis","volume":"28","author":"Zhao","year":"2022","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1108\/IR-12-2021-0294","article-title":"Research on constant force grinding control of aero-engine blades based on extended state observer","volume":"49","author":"Dai","year":"2022","journal-title":"Ind. Robot"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1108\/IR-08-2020-0166","article-title":"Robotic constant force grinding control based on grinding model and iterative algorithm","volume":"48","author":"Xiao","year":"2020","journal-title":"Ind. Robot"},{"key":"ref_25","unstructured":"Zhang, X.X. (2022). Hybrid Coutour Force\/Position Control of Industrial Robot Based on Variable-Gain Iterative Learning. [Ph.D. Thesis, China University of Geosciences]."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1109\/TMECH.2022.3216314","article-title":"Robotic Polishing of Unknown-Model Workpieces With Constant Normal Contact Force Control","volume":"28","author":"Li","year":"2023","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Zhang, T., Yuan, C., and Zou, Y.B. (2023). Research on the algorithm of constant force grinding controller based on reinforcement learning PPO. Int. J. Adv. Manuf. Technol., 1\u201314.","DOI":"10.1007\/s00170-023-11129-2"},{"key":"ref_28","unstructured":"Peterson, M.B. (1980). Wear Control Handbook, American Society of Mechanical Engineering."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/j.ijmachtools.2009.05.002","article-title":"Robotic polishing of precision molds with uniform material removal control","volume":"49","author":"Tsai","year":"2009","journal-title":"Int. J. Mach. Tools Manuf."},{"key":"ref_30","first-page":"21","article-title":"Research on the force control of the robot and surface tracking with unknown parameters","volume":"6","author":"Lai","year":"2018","journal-title":"Manuf. Technol. Mach. Tool"},{"key":"ref_31","unstructured":"Xiong, M.Q. (2020). Research on Key Techniques of Robot Force\/Position Control Grinding and Polishing. [Master\u2019s Thesis, Changchun University of Science and Technology]."},{"key":"ref_32","first-page":"1865","article-title":"Research on robot constant force control of surface tracking based on reinforcement learning","volume":"53","author":"Zhang","year":"2019","journal-title":"J. Zhejiang Univ. Eng. Sci."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/10\/4702\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:33:44Z","timestamp":1760124824000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/10\/4702"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,12]]},"references-count":32,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["s23104702"],"URL":"https:\/\/doi.org\/10.3390\/s23104702","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,12]]}}}