Abstract

The performance of biomimetic underwater vehicles directly depends on the correct design of their propulsion system and its control. These vehicles can attain highly efficient motion, hovering and thrust by properly moving part(s) of their bodies. In this article, a mathematical modeling and waypoint guidance system for a biomimetic autonomous underwater vehicle (BAUV) is proposed. The BAUV achieves sideways and dorsoventral thunniform motion by flapping its caudal fin through a parallel mechanism. Also, an analysis of the vehicle’s design is presented. A thrust analysis was performed based on the novel propulsion system. Furthermore, the vehicle’s kinematics and dynamic models were derived, where hydrodynamic equations were obtained as well. Computed models were validated using simulations where thrust and moment analysis was employed to visualize the vehicle’s performance while swimming. For the path tracking scheme, a waypoint guidance system was designed to correct the vehicle’s direction toward several positions in space. To accurately obtain waypoints, correction over the propeller’s flapping frequency and bias was employed to achieve proper thrust and orientation of the vehicle. The results from numerical simulations showed how by incorporating this novel propulsion strategy, the BAUV improved its performance when diving and maneuvering based on the dorsoventral and/or sideways configuration of its swimming mode. Furthermore, by designing proper strategies to regulate the flapping performance of its caudal fin, the BAUV followed the desired trajectories. The efficiency for the designed strategy was obtained by comparing the vehicle’s traveled distance and ideal scenarios of straight-line trajectories between targets. During simulations, the designed guidance system presented an efficiency of above 80% for navigation tasks.

Highlights

  • Nowadays, biomimetic autonomous underwater vehicles (BAUVs) represent an alternative strategy to accomplish navigation tasks without disrupting the natural cohesion in aquatic ecosystems

  • The mathematical analysis of the dynamics of the parallel mechanism used inside the BAUV propulsion system, and the implementation of the feedforward plus feedback controller are duly explained in [22]

  • The vehicle’s real trajectory T (t) was described by the ( x, y, z) coordinates obtained over time, and the total distance traveled R D was computed by integrating the BAUV speed as follows: Z q tf ti ( x 0 (t))2 + (y0 (t))2 + (z0 (t))2 dt (m); (54)

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Summary

Introduction

Biomimetic autonomous underwater vehicles (BAUVs) represent an alternative strategy to accomplish navigation tasks without disrupting the natural cohesion in aquatic ecosystems. No information of the mechanical design required for the propulsion system to attain such configurations was presented, and a force and moment analysis was not conducted They found that based on the swimming fashion, the vehicle would tend to follow a circular path while flapping sideways, and straight lines while flapping dorsoventrally. Szymak [13] developed a mathematical model for a BAUV and a forces and moments analysis produced by a sideways undulating propeller In his design, Electronics 2022, 11, 544 the vehicle’s movable tail was considered for thrust generation and two independent pectoral fins were employed to change the cruising orientation. Further studies on hydrodynamics based on the hull design of the BAUV are described By considering such models and the novel feature of switching among swimming modes, the underwater performance of the vehicle is simulated in open-loop trajectories.

Vehicle Design
Vehicle
Propulsion System
Propeller and Kinematics
Design
Thrust and Moment Analysis
Parallel Mechanism Controller
Vehicle Dynamics
Assumptions
Rigid-Body Dynamics
Hydrodynamic Added Mass Terms
Hydrodynamic Damping Coefficients
Hydrostatic Forces and Moments
Open-Loop Trajectories and Waypoint Guidance System
Waypoint Guidance System
Simulations
Results and Discussion
14. Results
15. Estimated
16. Results
17. Estimated
18. Results from the implemented waypoint guidance system:
20. Results
Conclusions

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