A modular and integrated optimisation model for the design of underwater vehicles is presented. In the proposed optimisation model two modules (i.e. low fidelity and high fidelity) are incorporated and the basic geometric definition of computer aided design (CAD) is integrated with computational fluid dynamic (CFD) analysis. The hydrodynamic drag is considered as single objective with constraints on the geometric parameters of dimension, space and volume. The CAD model is implemented in MATLAB∗™ and CFD model is implemented in Shipflow∗∗™. A real-world design example of an existing underwater vehicle is presented. The applicability of proposed optimisation model is shown. The presented results show that within given set or sets of constraints the application of optimisation model in design results into an efficient hull form. © 2016, DESIDOC.

Rajiv Sharma

Department of Ocean Engineering

S. K. Bhattacharyya

K. L. Vasudev

Computational fluid dynamics

Computer aided analysis

Design

Drag

FLUID DYNAMICS

Genetic algorithms

Hydrodynamics

Optimization

Vehicles

GEOMETRIC DEFINITION

High-fidelity

Hydrodynamic drag

Low fidelities

OPTIMISATION MODELS

REAL-WORLD DESIGNS

SINGLE OBJECTIVE

UNDERWATER VEHICLES

Computer aided design

Fulltext

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IIT Madras

Defence Science Journal

A procedure to automatically maneuver surface ships on a given target path has been outlined in this paper. The ship maneuvering model is nonlinear. The procedure hinges on a Target Path Iteration (TPI) controller integrated with genetic algorithm (GA). GA is used to obtain the optimum command rudder angle and length of target trajectory in a particular simulation time step with the objective to minimize the mean squared error of the actual path taken by the ship vis-à-vis the target trajectory. The proposed control algorithm has been implemented on a variety of straight line and curved trajectories and the results show that the method used is accurate and robust. © 2018 Elsevier Ltd

Applied Ocean Research

Genetic algorithm optimization based nonlinear ship maneuvering control

This paper adopts Genetic Algorithm (GA) -driven optimisation framework to solve the design optimisation problem of an autonomous underwater vehicle that aims to minimise the delivered power under the constraints on the geometric parameters that define the hull shape. The GA and computational fluid dynamics (CFD) solvers are seamlessly integrated into a single code so that it becomes an effective computational tool for optimisation. Adopting a hull and a ducted propeller, for which some experimental data are available for CFD validation, the optimisation is done for the shape of the hull for a single velocity, leading to significant reduction in delivered power. The hull shape is described by a 5-parameter axisymmetric form. Delivered power minimisation problem is compared with the corresponding drag minimisation problem of the chosen hull. © 2017 Informa UK Limited, trading as Taylor &amp; Francis Group.

Ships and Offshore Structures

Shape optimisation of an AUV with ducted propeller using GA integrated with CFD

A modular and integrated optimisation model for underwater vehicles

Journal	Defence Science Journal
Publisher	Defense Scientific Information and Documentation Centre
Open Access	No