Path Planning for a Space-Based Manipulator System Based on Quantum Genetic Algorithm
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this study, by considering a space-based, n-joint manipulator system as research object, a kinematic and a dynamic model are constructed and the system’s nonholonomic property is discussed.
In light of the nonholonomic property unique to space-based systems, a path planning method is introduced to ensure that when an end-effector moves to the desired position, a floating base achieves the expected pose.
The trajectories of the joints are first parameterized using sinusoidal polynomial functions, and cost functions are defined by the pose deviation of the base and the positional error of the end-effector.
At this stage, the path planning problem is converted into a target optimization problem, where the target is a function of the joints.
We then adopt a quantum genetic algorithm (QGA) to solve this objective optimization problem to attain the optimized trajectories of the joints and then execute nonholonomic path planning.
To test the proposed method, we carried out a simulation on a six-degree-of-freedom (DOF) space-based manipulator system (SBMS).
The results showed that, compared to traditional genetic optimization algorithms, the QGA converges more rapidly and has a more accurate output.
American Psychological Association (APA)
Chen, Zheng-Cang& Zhou, Weijia. 2017. Path Planning for a Space-Based Manipulator System Based on Quantum Genetic Algorithm. Journal of Robotics،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1186384
Modern Language Association (MLA)
Chen, Zheng-Cang& Zhou, Weijia. Path Planning for a Space-Based Manipulator System Based on Quantum Genetic Algorithm. Journal of Robotics No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1186384
American Medical Association (AMA)
Chen, Zheng-Cang& Zhou, Weijia. Path Planning for a Space-Based Manipulator System Based on Quantum Genetic Algorithm. Journal of Robotics. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1186384
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186384