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Three-dimensional path planning for unmanned aerial vehicle based on linear programming

Published online by Cambridge University Press:  15 September 2011

Yang Chen ,
Jianda Han  and
Xingang Zhao
Yang Chen
Affiliation:
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, P.R. China School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, P.R. China Graduate School, Chinese Academy of Sciences, Beijing 100039, P.R. China
Jianda Han*
Affiliation:
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, P.R. China
Xingang Zhao
Affiliation:
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, P.R. China
*
*Corresponding author. E-mail: jdhan@sia.cn
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Summary

In this paper, an approach based on linear programming (LP) is proposed for path planning in three-dimensional space, in which an aerial vehicle is requested to pursue a target while avoiding static or dynamic obstacles. This problem is very meaningful for many aerial robots, such as unmanned aerial vehicles. First, the tasks of target-pursuit and obstacle-avoidance are modelled with linear constraints in relative coordination according to LP formulation. Then, two weighted cost functions, representing the optimal velocity resolution, are integrated into the final objective function. This resolution, defined to achieve the optimal velocity, deals with the optimization of a pair of orthogonal vectors. Some constraints, such as boundaries of the vehicle velocity, acceleration, sensor range, and flying height, are considered in this method. A number of simulations, under static and dynamic environments, are carried out to validate the performance of generating optimal trajectory in real time. Compared with ant colony optimization algorithm and genetic algorithm, our method has less parameters to tune and can achieve better performance in real-time application.

Keywords

Path planning in three dimensionsObstacle avoidanceTarget pursuitUncertain environment
Type
Articles
Information
Robotica , Volume 30 , Issue 5 , September 2012 , pp. 773 - 781
Copyright
Copyright © Cambridge University Press 2011

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