张永顺

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:哈尔滨工业大学

学位:博士

所在单位:机械工程学院

学科:机械电子工程

办公地点:机械工程学院知方楼6037

联系方式:zyshun@dlut.edu.cn 13478625608

电子邮箱:zyshun@dlut.edu.cn

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磁场与视觉共融的多模态胶囊机器人人机交互控制

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发表时间:2018-01-01

发表刊物:机器人

所属单位:机械工程学院

卷号:40

期号:1

页面范围:72-80

ISSN号:1002-0446

摘要:In order to achieve the panoramic observation based on the suspended posture adjustment of the capsule en-doscopy in an appointed position by magnetic actuation, an underactuated dual hemisphere capsule robot (DHCR) is pro-posed, which achieves the key breakthrough in the modal conversion between the suspended posture adjustment and the rolling locomotion. To realize the rolling locomotion in the bending gastrointestinal (GI) tract, a human-machine interaction control strategy integrating the vision and the spatial universal rotating magnetic field (SURMF) is put forwarded. Theo-retically, the SURMF superposition formula in form of three phase currents using the azimuth and altitude angles of the SURMF axis as independent variables, is derived in the latitude and longitude coordinate systems according to the principle of the orthogonal transformation, achieving the dimension reduction and the decoupling of control variables. Furthermore, the individual adjustment of the SURMF axis along azimuth direction or altitude direction can be implemented respectively. Practically, the camera of the DHCR can scan along azimuth or altitude directions respectively by the magnetic torque servo effect until the DHCR axis is aligned with the bending direction in each section of the GI tract, and steering along each bending direction can be realized by applying the relevant rolling magnetic moment respectively. Finally, the in-vitro pig large intestine is employed as the simulation environment to verify the man-machine interactive performance. The experi-ments show that the panoramic observation based on the arbitrary posture adjustment under the passive mode, along with the rolling locomotion in the curved environment under the active mode, can be achieved by the proposed DHCR with the human-machine interaction combining the image of the curved GI tract and the SURMF orientation.

备注:新增回溯数据