Date of Award
2022
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Dhanak, Manhar
Abstract
This thesis presents the development a sliding mode controller and vehicle allocation to control a surface vessel platform within a high degree of accuracy. This is part of ongoing development on the WAMV platform at Florida Atlantic University to improve autonomy in marine systems. By developing models for the untested thrusters currently used, the efficacy of a Sliding Mode Controller is evaluated, and a new control allocation developed based on the gradient descent optimization method is developed to manage the thrusters’ constrained angles of thrust generation. The official simulation for the WAMV platform was then modified to include these aspects and the system was tested under wind conditions and was successful in achieving control to waypoints. The gradient descent optimization used for the control allocation did manage to increase the accuracy of both heading and position of the system at convergence. The sliding mode controller navigated to the desired waypoint however maintained oscillations of cross track that were less then 2m and heading error less 20 degrees.
Extent
77 p.
Recommended Citation
Resio, Daniel, "DEVELOPMENT OF A SLIDING MODE CONTROLLER AND CONTROL ALLOCATION OPTIMIZED FOR ELECTRO-MAGNETIC ACTUATOR LIMITATIONS" (2022). Electronic Theses and Dissertations 2020 - Present. 923.
https://digitalcommons.fau.edu/etd_general/923
Identifier
FA00014037
Comments
Includes bibliography.|Thesis (MS)--Florida Atlantic University, 2022.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.