A Receding Horizon Motion Planner for Underwater Vehicle Manipulator Systems

Xinyuan Zhao, Jian Gao, Weisheng Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, a receding horizon (RH) motion planner is developed for an underwater vehicle manipulator system (UVMS) consisting of an unmanned underwater vehicle (UUV) and a robotic arm with multiple joints. The desired task is assigned as driving the end effector to a predefined pose while keeping roll and pitch of the UUV in a small range. Model-based constraints such as input saturations and mechanical limits are explicitly considered within the RH framework, and thus the generated velocities are executable for the real system. Compared with the task priority control approach, which has been widely studied for motion planning of UVMSs, the RH planner is better in its optimality and capability to deal with complicated environments and mission requirements. Performance of these two approaches is compared in simulation studies and effectiveness of the proposed RH motion planner is verified.

Original languageEnglish
Title of host publicationOCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648148
DOIs
StatePublished - 7 Jan 2019
EventOCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 - Charleston, United States
Duration: 22 Oct 201825 Oct 2018

Publication series

NameOCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

Conference

ConferenceOCEANS 2018 MTS/IEEE Charleston, OCEANS 2018
Country/TerritoryUnited States
CityCharleston
Period22/10/1825/10/18

Keywords

  • Kinematic redundancy
  • Motion planning
  • Receding horizon control (RHC)
  • Task priority control
  • Underwater vehicle manipulator system (UVMS)

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