{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T05:47:50Z","timestamp":1775022470752,"version":"3.50.1"},"reference-count":26,"publisher":"Emerald","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,6]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>Omnidirectional mobile robots with a special type of wheel structure can realize flexible motion with all three degrees of freedom in a plane. But the driving method brings large disturbance, which affects motion accuracy and stability. This study aims to improve the motion control accuracy of the omnidirectional mobile platform with MY3 wheels (MY3-OMR), a new fuzzy active disturbance rejection control (FADRC) method with adaptivity is proposed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>Based on the basic mechanical structure and drive characteristics of MY3-OMR, the dynamics model of the system is established. The linear active disturbance rejection control (LADRC) system is designed to reduce the interference of nonlinear factors in this dynamics model. A fuzzy controller is introduced to realize the online adjustment of the parameters of the LADRC, which further improves the anti-disturbance performance of the system.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>The control method proposed in this paper is compared and analyzed with other methods by simulation and experiment. Results show that the proposed method has better tracking and robustness, which effectively improves the control accuracy of trajectory tracking of MY3-OMR.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>A FADRC method with adaptivity is proposed by combining fuzzy control and LADRC. The motion accuracy and anti-interference ability of the MY3-OMR are improved by this control method, which lays a foundation for the subsequent application of MY3-OMR.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/ir-10-2022-0264","type":"journal-article","created":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T03:11:09Z","timestamp":1682910669000},"page":"706-716","source":"Crossref","is-referenced-by-count":7,"title":["Fuzzy active disturbance rejection control method for an omnidirectional mobile robot with MY3 wheel"],"prefix":"10.1108","volume":"50","author":[{"given":"Changlong","family":"Ye","sequence":"first","affiliation":[{"name":"Shenyang Aerospace University School of Mechatronics Engineering, , Shenyang,","place":["China"]}]},{"given":"Jingru","family":"Shao","sequence":"additional","affiliation":[{"name":"Shenyang Aerospace University School of Mechatronics Engineering, , Shenyang,","place":["China"]}]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[{"name":"Shenyang Institute of Automation Chinese Academy of Sciences , Shenyang,","place":["China"]}]},{"given":"Suyang","family":"Yu","sequence":"additional","affiliation":[{"name":"Shenyang Aerospace University School of Mechatronics Engineering, , Shenyang,","place":["China"]}]}],"member":"140","published-online":{"date-parts":[[2023,5,3]]},"reference":[{"key":"2025072819551213700_ref001","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.robot.2018.06.011","article-title":"Trajectory tracking control of WMRs with lateral and longitudinal slippage based on active disturbance rejection control","volume":"107","author":"Chen","year":"2018","journal-title":"Robotics and Autonomous Systems"},{"key":"2025072819551213700_ref002","first-page":"342","article-title":"Research on anti-interference of ROV based on particle swarm optimization fuzzy 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