XU Jiachang, HUANG Yourui, LI Hongjin, et al. Attitude control of mine inspection unmanned helicopter based on cellular membrane computing[J]. Industry and Mine Automation, 2021, 47(11): 40-44. doi: 10.13272/j.issn.1671-251x.17846
Citation: XU Jiachang, HUANG Yourui, LI Hongjin, et al. Attitude control of mine inspection unmanned helicopter based on cellular membrane computing[J]. Industry and Mine Automation, 2021, 47(11): 40-44. doi: 10.13272/j.issn.1671-251x.17846

Attitude control of mine inspection unmanned helicopter based on cellular membrane computing

doi: 10.13272/j.issn.1671-251x.17846
  • Received Date: 2021-09-08
  • Rev Recd Date: 2021-11-12
  • Publish Date: 2021-11-20
  • The effective attitude control of mine inspection unmanned helicopter is an important manifestation of the pros and cons of inspection capabilities.The existing unmanned helicopter attitude control changes along with the application scene, and the perturbation changes with it, resulting in the unmanned helicopter attitude fluctuation amplitude and error become larger.In order to solve the above problems, the cellular membrane computing is used to realize the attitude control of mine inspection unmanned helicopter.According an underground unmanned helicopter dynamics model, the unmanned helicopter attitude dynamics model is constructed.The cellular membrane system suitable for the underground unmanned helicopter attitude model is constructed, and the unmanned helicopter attitude membrane controller(MC)is designed.Through flight experiments over the ground and in simulated roadway, the effect of MC on the attitude control of unmanned helicopters is verified.And compared with traditional sliding mode controller(TSC)and linear feedback controller(LFC), the results are listed as follows.In the experimental environment over the ground, the attitude angle of the unmanned helicopter under MC is controlled at-0.8-0.8 rad, and the attitude fluctuation amplitude is less than that of the TSC and the LFC.In the simulated roadway environment, the attitude angle of the unmanned helicopter under MC is controlled at-1.8-2.0 rad, and the fluctuation amplitude becomes smaller.The attitude angle errors of unmanned helicopter under MC are smaller than those of TSC and LFC.

     

  • loading
  • [1]
    石晓荣.煤矿工作面智能化监控系统的设计应用[J].机械研究与应用,2021,34(5):195-197.

    SHI Xiaorong.Design and application of intelligent monitoring system in coal mine face[J].Mechanical Research & Application,2021,34(5):195-197.
    [2]
    柴智.四旋翼无人机姿态控制研究[D].太原:中北大学,2020.

    CHAI Zhi.Research on attitude control of quadcopter UAV[D].Taiyuan:North University of China,2020.
    [3]
    杨寒石,张楚晗.旋翼无人机位姿控制与自主返航技术[J].设备管理与维修,2020(9):137-139.

    YANG Hanshi,ZHANG Chuhan.Pose control and autonomous return technology of rotorcraft UAV[J].Plant Maintenance Engineering,2020(9):137-139.
    [4]
    LIU Hao,LU Geng,ZHONG Yisheng,et al.Robust LQR attitude control of a 3-DOF laboratory helicopter for aggressive maneuvers[J].IEEE Transactions on Industrial Electronics,2013,60(10):4627-4636.
    [5]
    SUN Xiuyun,FANG Yongchun,SUN Ning.Backstepping-based adaptive attitude and height control of a small-scale unmanned helicopter[J].Control Theory & Applications,2012,29(3):381-388.
    [6]
    NODLAND D,ZARGARZADEH H,JAGANNATHAN S.Neural network-based optimal adaptive output feedback control of a helicopter UAV[J].IEEE Transactions on Neural Networks and Learning Systems,2013,24(7):1061-1073.
    [7]
    AHMED B,POTA H R.Flight control of a rotary wing UAV using adaptive backstepping[C]//IEEE International Conference on Control and Automation,Christchurch,2009:1780-1785.
    [8]
    DIAO Chen,XIAN Bin,YIN Qiang,et al.A nonlinear adaptive control approach for quadrotor UAVs[C]//Asian Control Conference(ASCC),Kaohsiung,2011:223-228.
    [9]
    LIMNAIOS G,TSOURVELOUDIS N.Fuzzy logic controller for a mini coaxial indoor helicopter[J].Kluwer Academic Publishers,2012,65(1-4):187-201.
    [10]
    LEE D J,BANG H.Reinforcement learning based neuro-control systems for an unmanned helicopter[C]//ICCAS,Gyeonggi-do,2010:2537-2540.
    [11]
    田栢苓,李品品,鲁瀚辰,等.复杂环境下多无人机轨迹姿态协同控制[J].航空学报,2020,41(增刊2):36-43.

    TIAN Bailing,LI Pinpin,LU Hanchen,et al.Trajectory and attitude coordinated control of multiple unmanned aerial vehicles(UAVs)in complex environments[J].Acta Aeronautica Sinica,2020,41(S2):36-43.
    [12]
    PAUN G.Computing with membranes[J].Journal of Computer and System Sciences,2000,61(1):108-143.
    [13]
    XU Jiachang,HUANG Yourui,LIU Yu.Attitude optimization control of unmanned helicopter in coal mine using membrane computing[J].Mathematical Problems in Engineering,2020(1):1-11.
    [14]
    PAUN G,PAUN R.Membrane computing and economics:numerical P systems[J].Fundamenta Informaticae,2006,73(1/2):213-227.
    [15]
    XU Jiachang,HUANG Yourui,ZHAO Ruijuan,et al.Attitude control of an unmanned patrol helicopter based on an optimised spiking neural membrane system for use in coal mines[J].International Journal of Computational Science and Engineering,2021,24(5):538-549.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (62) PDF downloads(12) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return