• DocumentCode
    1944442
  • Title

    Two-Step NonLinear Optimal Control Approach for Coal Mine Rescue Robot Navigation

  • Author

    Liu Wanli ; Wang Zhankui ; Guo Meng

  • Author_Institution
    Sch. of Mech. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2011
  • fDate
    5-7 Aug. 2011
  • Firstpage
    1380
  • Lastpage
    1383
  • Abstract
    Coal mine rescue robot (CMRR) places an important role when any disaster happens in underground mine. However, they have not yet an effective approach for rescue robot navigation and location in unknown and complex environment. In this paper, a new nonlinear optimal control synthesis method, called the two-step method, is developed to improve optimality and to secure stability of the CMRR navigation. The first step is to linearize the system and solve the associated linear control problem; the second step is to numerically adjust the solution from first step to enforce optimality and stability constraints. The experimental studies have been made to check validity of the proposed method; the results show that the two-step method can yield optimal trajectory for CMRR in the unknown environment.
  • Keywords
    coal; control system synthesis; disasters; linear systems; linearisation techniques; mining; mobile robots; navigation; nonlinear control systems; optimal control; path planning; stability; coal mine rescue robot navigation; complex environment; disaster; linear control problem; nonlinear optimal control synthesis method; optimal trajectory; optimality constraint; path planning; robot location; stability constraint; system linearization; two-step nonlinear optimal control; underground mine; unknown environment; Coal mining; Mobile robots; Navigation; Numerical stability; Optimal control; Path planning; Coal mine rescue robot; Navigation; NonLinear; Two-step;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-1-4577-0755-1
  • Electronic_ISBN
    978-0-7695-4455-7
  • Type

    conf

  • DOI
    10.1109/ICDMA.2011.339
  • Filename
    6052083