Date of Award
Winter 2025
Project Type
Thesis
Program or Major
Ocean Engineering
Degree Name
Master of Science
First Advisor
May-Win Thein
Second Advisor
Yuri Rzhanov
Third Advisor
Martin Renken
Abstract
The development of biomimetic robotic fish has been an ongoing research topic for the last 30 years. Here, researchers have explored biomimetic propulsion and maneuverability mechanisms, studied energy efficiency in comparison to live fish, and developed autonomous control algorithms for these extremely nonlinear systems. This work studies a multi-linkage, single-actuator propelled biomimetic robotic fish, the Ghost Uncrewed Performance Platform Submersible (GUPPS), developed at the University of New Hampshire. A set of symmetrically driven, static pectoral fins are added to the original platform to enable diving and surfacing capabilities by controlling the vehicle Angle of Attack (AoA) through pitch and yaw maneuverability. The future intent is to provide a controllable multi-nodal sensor array comprised of a school of robotic fish. A five Degree-of-Freedom (5-DOF) dynamic model is developed to analytically study GUPPS' motion, specifically to observe the response of the body pitch angle with specified pectoral fin inputs. These simulation results are compared to that of lab experiments that implement static fin trials and open-loop control sequences actuated with pre-scripted robotic autonomy. Equipped with an onboard Inertial Measurement Unit (IMU) and a dual-pressure sensor array to measure pitch angle, the simulation and experimental data show consistent alignment. The analytical model is used to tune a Proportional-Integral-Derivative (PID) controller for GUPPS' pitch control regulation. It is observed that the starting depth in relation to the robotic fish's neutral buoyancy point has a significant impact on the success of the controller in maintaining a constant angle. Regardless, the results show that the measured experimental pitch angles in the PID control trials also closely align with those in the analytical simulation.
Recommended Citation
Enderle, Margaret Grace, "Pitch Modeling and Control of Subcarangiform Robotic Fish" (2025). Master's Theses and Capstones. 2035.
https://scholars.unh.edu/thesis/2035