Collision avoidance using mixed H2/H∞ control for an articulated intervention-AUV
File(s)ECC.pdf (740.13 KB)
Accepted version
Author(s)
Wrzos-Kaminska, Marianna
Mylvaganam, Thulasi
Pettersen, Kristin Y
Gravdahl, Jan Tommy
Type
Conference Paper
Abstract
In this paper we consider the problem of mixedH2/H∞control to combine optimal and robust control for a dou-ble integrator system with nonlinear performance variables, andwe apply this to control an articulated intervention autonomousunderwater vehicle (AIAUV). The AIAUV has an articulatedbody like a snake robot, is equipped with thrusters, and canbe used as a free-floating underwater manipulator. The objectiveis to control the joints of the AIAUV to desired setpoints withoutcausing collisions between links or with obstacles in the envi-ronment. The mixedH2/H∞problem is viewed as a differentialgame, and a set of matrix equations is solved in order to constructan approximate solution to the problem for a system describedby double integrator dynamics and with nonlinear performancevariables. A feedback linearising controller is derived to obtainthe double integrator dynamics for the joints of the AIAUV, andthe solution found for the mixedH2/H∞control problem isapplied to the resulting system. Simulations demonstrate thatcollisions between links of the manipulator are successfullyavoided also in the presence of parameter uncertainties whileregulating the joints to the desired setpoints, and the methodcan easily be extended to include collision avoidance with staticand dynamic obstacles in the environment.
Date Issued
2020-07-20
Date Acceptance
2020-01-16
Citation
2020, pp.881-888
Publisher
IEEE
Start Page
881
End Page
888
Copyright Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Imperial College London
Identifier
https://ieeexplore.ieee.org/abstract/document/9143717
Source
European Control Conference
Publication Status
Published
Start Date
2020-05-12
Finish Date
2020-05-15
Coverage Spatial
Saint Petersburg, Russia
Date Publish Online
2020-07-20