2020 Vol.3 Jun. No.3

• Title: Prediction algorithm of medical manipulator trajectory based on PLC Fuzzy Control
• Name: Li Gang
• Company: Guangzhou Huali Science and Technology Vocational College
• Abstract:

  Aiming at the problem of multi-band motion and multi-joint inflection point of hybrid manipulator, the conventional trajectory prediction algorithm cannot satisfy the fast analysis and accurate control of motion trajectory. This paper proposes a hybrid manipulator running trajectory prediction algorithm based on PLC fuzzy control. Based on newton-andrews law, the dynamic model of hybrid manipulator was built, and the dynamics of hybrid manipulator was analyzed and the dynamic characteristics were determined. PLC fuzzy control unit is introduced, based on the kinematics characteristics of hybrid manipulator, the relevant input and output variables of PLC fuzzy control unit are determined, and the fuzzy strategy is implemented and analyzed. The construction of a hybrid manipulator based on fuzzy control is completed. The test data show that the proposed prediction algorithm is better than the conventional prediction algorithm, and the accuracy is improved by 57.42%, which is applicable to the prediction of the operation trajectory of the hybrid manipulator.

• Keyword: PLC fuzzy control; Hybrid manipulator; Trajectory; Prediction algorithm;
• DOI: 0.12250/jpciams2020030115
• Citation form: Li Gang.Prediction algorithm of medical manipulator trajectory based on PLC Fuzzy Control[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 50-54.

[1] ZHOU Ying, HU Dabin, JIN Rufeng, HU Jinhui, “Application of fuzzy control based on PLC in ship rudder roll stabilization system [J]”, Modern Electronics Technique, 2016, 39(2):140-142.
[2] WANG Pan, HONG Yuanqian, HUANG Hanying et al., “Application of fuzzy PID controller based on PLC in hot air drying oven [J]”, Food & Machinery, 2016, 32(12):100-104.
[3] XU Qingzeng, YANG Shifeng, YANG Meiyan, “Offline Robot Track Intelligent Optimization----Based on Improved Differential Evolution Algorithm [J]”, Agricultural Mechanization Research, 2017, 39(2):191-195.
[4] HUANG Hai, ZHANG Guocheng, YANG Yi, “Dynamic Modeling and Coordinate Motion Trajectory Optimization for Underwater Vehicle and Manipulator System [J]”, Journal of Shanghai Jiaotong University, 2016, 50(9):1437-1443.
[5] FENG Dinghao, ZHANG Xi, ZHANG Xu et al., “RANSAC-based spatial circle fitting algorithm and it’s application on motion range detection of a manipulator [J]”, Optical technique, 2016, 14(2):156-160.
[6] XU Jian, MEI Jianging, DUAN Xiaobin, et al,. “A Continuous Trajectory Planning Transition Algorithm for Industrial Robots [J]”, Chinese Journal of Engineering Design, 2016, 23(6):537-543.
[7] BAI Guo-zhen, JING Peng-xiang, “Trajectory Planning of Delta Manipulators Based on Modified Gravitational Search Algorithm [J]”, Control Engineering of China, 2017, 24(9):1823-1828.
[8] ZHANG Lei, WEI Pandong, LI Pengfei, WANG Xiaohua, LIU Xiuping, “Fabric grasp planning for multi-fingered dexterous hand based on neural network algorithm [J]”, Journal of Textile Research, 2017, 38(1):132-139.
[9] TONG Zhi-xue, GUO Rui-feng, LI Li-xia, LIN Yi-nan, “Study on Trajectory Controlling of Hydraulic Sampling Joint Manipulator [J]”, Machinery Design & Manufacture, 2016, 5(11):162-165.
[10] HUANG Zhen, XIANG Yanhua, LI Ze, L(u) Nengchao, “Trajectory planning and design of control system for road cone automatic retractable manipulator [J]”, Chinese Journal of Construction Machinery, 2017, 15(4):283-290.