Development of Low Cost Autonomous Underwater Vehicle Platform

Osama Hassanein; G. Sreenatha; S. Aboobacker; Shaaban Ali

doi:10.21307/ijssis-2021-005

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Development of Low Cost Autonomous Underwater Vehicle Platform

International Journal on Smart Sensing and Intelligent Systems

Volume 14 (2021): Issue 1 (January 2021)

By: Osama Hassanein, G. Sreenatha, S. Aboobacker and Shaaban Ali

Open Access

|Jul 2021

Figures & Tables

Block diagram of various stages of project.

UNSW Autonomous Underwater Vehicle platform (Hassanein et al., 2011).

Forward thruster with electrical motor driver.

Submersible bilge pump with the motor driver.

Burst read sequence (ADIS16367 Data Sheet).

Depth measurement accuracy from water pressure sensor.

Table 1.

Specifications of AUV model.

Parameter	Calculated value	Unit	Parameter	Calculated value	Unit
Mass of the AUV	10.4102	Kg	CG (original)	[‒10.7498‒3.49512428.206]	mm
Payload capacity	21.1408	Kg	Total length (L)	1.064	m
Mass of AUV + Payload	31.551	Kg	Diameter (d)	0.250	m
Ix	0.6384	Kg.m²	Speed	1	m/s
Iy	6.4110	Kg.m²	$ρ$	1000	Kg/m³
Iz	6.4110	Kg.m²	BC	[0 0 0]	m
CG	[0 0 0]	m	BC(original)	[0 0 21.306]	mm

Body-fixed and earth-fixed coordinate system (Hassanein et al., 2013).

Table 2.

Hydrodynamic coefficient of UNSW Canberra AUV model.

Parameter	Calculated value	Unit	Parameter	Calculated value	Unit
$X_{u \| u}$	‒7.365	Kg/m	$X_{u}$	‒2.12	Kg/sec
$X_{v \| v}$	‒0.737	Kg/m	$X_{v}$	‒0.31	Kg/sec
$X_{w \| w}$	‒0.737	Kg/m	$X_{w}$	‒0.31	Kg/sec
$X_{q \| q}$	‒1.065	Kg.m/rad	$X_{q}$	‒0.51	Kg.m/sec
$X_{r \| r}$	‒1.065	Kg.m/rad	$X_{r}$	‒0.51	Kg.m/sec
$Y_{v \| v}$	‒112.2	Kg/m	$Y_{v}$	‒62.45	Kg/sec
$Y_{r \| r}$	0.250	Kg.m/rad	$Y_{r}$	0.12	Kg.m/sec
$Z_{w \| w}$	‒112.2	Kg/m	$Z_{w}$	‒62.45	Kg/sec
$Z_{q \| q}$	‒0.250	Kg.m/rad	$Z_{q}$	0.12	Kg.m/sec
$K_{p \| p}$	‒0.5975	Kg.m²/rad2	$K_{p}$	‒0.3125	Kg.m²/sec
$M_{w \| w}$	2.244	Kg.m/rad	$M_{w}$	1.2	Kg.m/sec
$M_{q \| q}$	‒119.5	Kg.m²/rad2	$M_{q}$	‒59.75	Kg.m²/sec
$N_{v \| v}$	‒2.244	Kg.m/rad	$N_{v}$	1.2	Kg.m/sec
$N_{r \| r}$	‒59.75	Kg.m²/rad2	$N_{r}$	‒31.25	Kg.m²/sec
$X_{\dot{u}}$	‒1.17	Kg	$K_{\dot{p}}$	0	Kg.m/rad
$Y_{\dot{v}}$	‒34.834	Kg	$M_{\dot{w}}$	‒1.042	Kg.m/rad
$Y_{\dot{r}}$	1.042	Kg.m/rad	$M_{\dot{q}}$	‒2.659	Kg.m/rad
$Z_{\dot{w}}$	‒34.834	Kg	$N_{\dot{v}}$	‒1.042	Kg.m/rad
$Z_{\dot{q}}$	‒1.042	Kg.m/rad	$N_{\dot{r}}$	‒2.659	Kg.m/rad

Pitch input response in AUV translational and orientational movement.

Yaw input response in translational and orientational movement.

UNSW Canberra AUV during experimental teat data collection.

1st set of AUV control based fuzzy experimental results: coupled dynamics.

2nd set of AUV control based HNFN experimental results: coupled dynamics.

References

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DOI: https://doi.org/10.21307/ijssis-2021-005 | Journal eISSN: 1178-5608

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Language: English

Page range: 1 - 22

Submitted on: Dec 27, 2020

Published on: Jul 15, 2021

Published by: International Journal on Smart Sensing and Intelligent Systems

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

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© 2021 Osama Hassanein, G. Sreenatha, S. Aboobacker, Shaaban Ali, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 14 (2021): Issue 1 (January 2021)

Development of Low Cost Autonomous Underwater Vehicle Platform

Figures & Tables

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