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
Link To Document :
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