Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Architecture

2017 ◽  
Author(s):  
Doe Young Hur ◽  
Edwin Peraza Hernandez ◽  
Edgar Galvan ◽  
Darren Hartl ◽  
Richard Malak
Keyword(s):  
Design Optimization ◽  
Design Process ◽  
Autonomous Underwater Vehicles ◽  
Electrical Power ◽  
Active Material ◽  
Pareto Frontier ◽  
Underwater Vehicles ◽  
Hydrodynamic Performance ◽  
Design Parameters ◽  
Solar Panels

Recently, the importance of design process with unknown parameter increased. On the other hand, the design of Autonomous Underwater Vehicles (AUVs) is a difficult challenge since it requires the consideration of various aspects such as mission range, controllability, energy source, and carrying capacity. A design process for novel type of AUV constructed using an origami-based structure that includes active material actuators and solar panels is proposed in this paper. To increase the efficiency in the three-dimensional shape modeling of the AUV, the shape of the outer surface is parameterized by a finite set of variables using shape functions. Here, the AUV should operate underwater via electrical power with the batteries being charged periodically using solar panels. The ability of the AUV to transport cargo such as instrumentation is also addressed. The design parameters include the total height and width of the AUV. As these dimensions of the AUV might vary in a non-preferential manner based on particular mission goals, these dimensions are considered as design parameters in a multi-objective optimization setting. The Predictive Parameterized Pareto Genetic Algorithm (P3GA) is selected as the optimization method to determine a Pareto frontier of design options with desired characteristics for a variety of missions for the AUV. The evaluation of each AUV design entails quantitative assessment of the origami fold pattern determined using a method developed by the authors and Computational Fluid Dynamics (CFD) analysis. The development of a design process that addresses the design optimization of the AUV considering its hydrodynamic performance and origami aspects is the main topic of this paper.

scholarly journals Wave-Powered AUV Recharging: A Feasibility Study

2019 ◽  
Author(s):  
Blake P. Driscol ◽  
Andrew Gish ◽  
Ryan G. Coe
Keyword(s):  
Wave Energy ◽  
Autonomous Underwater Vehicles ◽  
Electrical Power ◽  
Ocean Waves ◽  
Underwater Vehicles ◽  
Geographic Region ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Energy Needs ◽  
The U.S

Abstract The aim of this study is to determine whether multiple U.S. Navy autonomous underwater vehicles (AUVs) could be supported using a small, heaving wave energy converter (WEC). The U.S. Navy operates numerous AUVs that need to be charged periodically onshore or onboard a support ship. Ocean waves provide a vast source of energy that can be converted into electricity using a wave energy converter and stored using a conventional battery. The Navy would benefit from the development of a wave energy converter that could store electrical power and autonomously charge its AUVs offshore. A feasibility analysis is required to ensure that the WEC could support the energy needs of multiple AUVs, remain covert, and offer a strategic military advantage. This paper investigates the Navy’s power demands for AUVs and decides whether or not these demands could be met utilizing various measures of WEC efficiency. Wave data from a potential geographic region is analyzed to determine optimal locations for the converter in order to meet the Navy’s power demands and mission set.

scholarly journals Output-Feedback Control for Path Following of Autonomous Underwater Vehicles via Singular Perturbation Technique

2021 ◽  
Author(s):  
Ming Lei ◽  
Ye Li ◽  
Shuo Pang
Keyword(s):  
Singular Perturbation ◽  
Output Feedback ◽  
Time Scale ◽  
Decomposition Method ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Underwater Vehicles ◽  
Design Parameters ◽  
External Disturbances ◽  
Time Scale Decomposition

Abstract Autonomous underwater vehicles are needed in many applications such as underwater monitoring and surveillance, marine biology, rescue and search, undersea oil detection. In reality, the unknown external disturbances, and model uncertainties make the motion control of autonomous underwater vehicles a challenging task. With these issues, this paper presents an output-feedback singular perturbation control scheme for the path following of autonomous underwater vehicles, in term of the time scale decomposition method. As illustration, an extended state observer is first devised based on the singular perturbation theory. Then the stabilizing controller is developed by using the time scale decomposition method, in order to obtain a simple, easy-to-implement control law. And the stability analysis of stabilizing control system is conducted by constructing a composite Lyapunov function, which allows to provide mathematical bounds on the design parameters. Finally, simulation results are presented to prove the efficacy of the proposed controller for path following of autonomous underwater vehicles subject to internal and external disturbances.

Study of Microminiature Autonomous Underwater Vehicle Hull Form Based on CFD Technique

2012 ◽  
Vol 512-515 ◽  
pp. 2682-2685 ◽  
Author(s):  
Hai Long Shen ◽  
Mo Du ◽  
Yu Min Su
Keyword(s):  
Pressure Distribution ◽  
Autonomous Underwater Vehicle ◽  
Autonomous Underwater Vehicles ◽  
Prediction Method ◽  
Turbulence Models ◽  
Underwater Vehicles ◽  
Resistance Coefficient ◽  
Hydrodynamic Performance ◽  
Calculation Results ◽  
Partition Method

Based on CFD technique，this paper discusses the applicability of different turbulence models and mesh partition method which are used to predict the hydrodynamic performance of AUV. Firstly, the hydrodynamic performance prediction method was gotten and was validated, and three different shapes autonomous underwater vehicles were designed. The hydrodynamic performances of the three autonomous underwater vehicles were predicted. Then, the advantage and disadvantage of the four autonomous underwater vehicles were obtained by comparing the resistance and pressure distribution. Based on these, two other AUV hulls were designed which combined the advantages of them, and the hydrodynamic performance was predicted. The calculation results showed that the resistance and hull pressure distribution were improved remarkably comparing with the parent model. The resistance coefficient of optimized hull is reduced by 20% compared to the parent hull.

scholarly journals Multi-Objective Design Optimization of a Variable Geometry Spray Fuel Injector

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
J. R. Archer ◽  
Tiegang Fang ◽  
Scott Ferguson ◽  
Gregory D. Buckner
Keyword(s):  
Design Optimization ◽  
High Performance ◽  
Pareto Frontier ◽  
Spray Angle ◽  
Design Parameters ◽  
Variable Geometry ◽  
Fuel Injector ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Design Variables

This paper explores the simulation-based design optimization of a variable geometry spray (VGS) fuel injector. A multi-objective genetic algorithm (MOGA) is interfaced with commercial computational fluid dynamics (CFD) software and high performance computing capabilities to evaluate the spray characteristics of each VGS candidate design. A three-point full factorial experimental design is conducted to identify significant design variables and to better understand possible variable interactions. The Pareto frontier of optimal designs reveals the inherent tradeoff between two performance objectives—actuator stroke and spray angle sensitivity. Analysis of these solutions provides insight into dependencies between design parameters and the performance objectives and is used to assess possible performance gains with respect to initial prototype configurations. These insights provide valuable design information for the continued development of this VGS technology.

scholarly journals Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator

Actuators ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 13 ◽  
Author(s):  
Casey D. Haigh ◽  
John H. Crews ◽  
Shiquan Wang ◽  
Gregory D. Buckner
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Design Optimization ◽  
Flexural Rigidity ◽  
Pareto Frontier ◽  
Design Parameters ◽  
Optimization Strategy ◽  
Multi Objective ◽  
Critical Design ◽  
Multi Objective Genetic Algorithm

This paper presents a computational model and design optimization strategy for shape memory alloy (SMA) flexural actuators. These actuators consist of curved SMA wires embedded within elastic structures; one potential application is positioning microcatheters inside blood vessels during clinical treatments. Each SMA wire is shape-set to an initial curvature and inserted along the neutral axis of a straight elastic member (cast polydimethylsiloxane, PDMS). The elastic structure preloads the SMA, reducing the equilibrium curvature of the composite actuator. Temperature-induced phase transformations in the SMA are achieved via Joule heating, enabling strain recovery and increased bending (increased curvature) in the actuator. Actuator behavior is modeled using the homogenized energy framework, and the effects of two critical design parameters (initial SMA curvature and flexural rigidity of the elastic sleeve) on activation curvature are investigated. Finally, a multi-objective genetic algorithm is utilized to optimize actuator performance and generate a Pareto frontier, which is subsequently experimentally validated.

scholarly journals Development of a Derivative Design Process Considering Uncertainties from Low Fidelity Analysis Tools

2011 ◽  
Author(s):  
Hyeong-Uk Park ◽  
Kamran Behdinan ◽  
Jae-Woo Lee ◽  
Joon Chung
Keyword(s):  
Design Optimization ◽  
Design Process ◽  
Design Parameters ◽  
Engineering Product ◽  
Reliability Based Design ◽  
Analysis Tools ◽  
Design Variables ◽  
Business Jet ◽  
Design Requirements ◽  
Important Design

A sensitivity analysis and an expert system have been applied to find the important design parameters for designing derivative aircraft subject to new design requirements. Additionally, the Reliability Based Design Optimization (RBDO) and Possibility Based Design Optimization (PBDO) methods are used to consider uncertainties on low fidelity analysis tools. This design process can used to reduce the time and cost for derivative design of engineering product by reducing the number of design variables. In this study, the process is applied to a conceptual design of light business jet aircraft.

scholarly journals Automated and interactive evaluation of welding producibility in an multidisciplinary design optimization environment for aircraft components

2021 ◽  
Author(s):  
Julia Madrid ◽  
Petter Andersson ◽  
Rikard Söderberg ◽  
Kristina Wärmefjord ◽  
Donatas Kveselys ◽  
...  
Keyword(s):  
Design Optimization ◽  
Design Process ◽  
Multidisciplinary Design Optimization ◽  
Welding Process ◽  
Multidisciplinary Design ◽  
Design Parameters ◽  
Functional Requirements ◽  
Welding Quality ◽  
Evaluation Approach ◽  
Welded Structure

AbstractThe automation capabilities and virtual tools within engineering disciplines, such as structural mechanics and aerodynamics, enable efficient Multidisciplinary Design Optimization (MDO) approaches to evaluate and optimize the performance of a large number of design variants during early design stages of aircraft components. However, for components that are designed to be welded, in which multiple functional requirements are satisfied by one single welded structure, the automation and simulation capabilities to evaluate welding-producibility and predict welding quality (geometrical deformation, weld bead geometrical quality, cracks, pores, etc) are limited. Besides the complexity of simulating all phenomena within the welding process, one of the main problems in welded integrated components is the existing coupling between welding quality metrics and product geometry. Welding quality can vary for every new product geometrical variant. Thus, there is a need of analyzing rapidly and virtually the interaction and sensitivity coefficients between design parameters and welding quality to predict welding producibility. This paper presents as a result an automated and interactive welding-producibility evaluation approach. This approach incorporates a data-based of welding-producibility criteria, as well as welding simulation and metamodel methods, which enable an interactive and automated evaluation of welding quality of a large number of product variants. The approach has been tested in an industrial use-case involving a multidisciplinary design process of aircraft components. The results from analyzing the welding-producibility of a set of design variants have been plotted together with the analysis results from other engineering disciplines resulting in an interactive tool built with parallel coordinate graphs. The approach proposed allows the generation and reuse of welding producibility information to perform analyses within a big spectrum of the design space in a rapid and interactive fashion, thus supporting designers on dealing with changes and taking fact-based decisions during the multidisciplinary design process.

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