Path Following Guidance Control with Bounded Control Effort: Application to the Charlie Unmanned Surface Vehicle

Zizzari, Alessandro Antonio; Indiveri, Giovanni; Bibuli, Marco; Bruzzone, Gabriele; Caccia, Massimo

doi:10.3182/20090916-3-br-3001.0024

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Zizzari et al. (2009) developed a guidance motion control law that guarantees bounded velocity commands and then applied it in the path following guidance control of a USV prototype. Ghommam and Mnif (2016) designed a robust controller based on adaptive sliding mode control and the radial basis function neural network.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The advantage of this approach is that without changing the architecture, further control tasks can be easily added. Zizzari et al (2009) developed a guidance motion control law which guarantees bounded velocity commands and then applied it in the path following guidance control of a USV prototype. Ghommam and Mnif (2016) (2016) and Ma (2014).…”

Section: • Individual Controlmentioning

confidence: 99%

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Autonomous vessels: state of the art and potential opportunities in logistics

Góez

Guajardo

et al. 2020

Int Trans Operational Res

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The growth in technology on autonomous transportation systems is currently motivating a number of research initiatives. This paper first presents a survey of the literature on autonomous marine vessels in general. By identifying the main research interests in this field, we define 10 thematic categories. The collected articles are then classified according to these categories. We show that research on autonomous vessels has increased dramatically in the past decade. However, most of the published articles have focused on navigation control and safety issues. Studies regarding other topics, such as transport and logistics, are very limited. Although our main interest is the literature on autonomous vessels, we contrast its development with respect to the literature on autonomous cars so as to have a better understanding about the future potentials in the research on autonomous vessels. The comparison shows that there are great opportunities for research about transportation and logistics with autonomous vessels. Finally, several potential research areas regarding logistics with autonomous vessels are proposed. As the technology behind remote‐controlled or autonomous ships is maturing rapidly, we believe that it is already time for researchers in the field to start looking into future water‐borne transport and logistics using autonomous vessels.

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Section: Literature Reviewmentioning

confidence: 99%

Section: • Individual Controlmentioning

confidence: 99%

Autonomous vessels: state of the art and potential opportunities in logistics

Góez

Guajardo

et al. 2020

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

Section: • Individual Controlmentioning

confidence: 99%

Autonomous Vessels: State of the Art and Potential Opportunities in Logistics

Góez

Guajardo

et al. 2019

SSRN Journal

View full text Add to dashboard Cite

The growth in technology on autonomous transportation systems is currently motivating a number of research initiatives. This paper first presents a survey of the literature on autonomous marine vessels in general. By identifying the main research interests in this field, we define nine thematic categories. The collected articles are then classified according to these categories. We show that research on autonomous vessels has increased dramatically in the past decade. However, most of the published articles have focused on navigation control and safety issues. Studies regarding other topics, such as transport and logistics, are very limited. While our main interest is the literature on autonomous vessels, we contrast its development with respect to the literature on autonomous cars so as to have a better understanding about the future potentials in the research on autonomous vessels. The comparison shows that there are great opportunities for research about transportation and logistics with autonomous vessels. Finally, several potential research areas regarding logistics with autonomous vessels are proposed. As the technology behind remote-controlled or autonomous ships is maturing rapidly, we believe that it is already time for researchers in the field to start looking into future water-borne transport and logistics using autonomous vessels.

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Control PID basado en odometría visual monocular a un vehículo de superficie marino

Mendoza-Ruiz

Coss

Alazki

et al. 2020

JOIE

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The aim of this work is to study the behavior of a marine vehicle applying vision-based control. We use a DMVO algorithm (Direct Monocular Visual Odometry) that is based at the feature extraction of two image frames taken consecutively at two continuous tame frames in order to estimate a marine vehicle’s position; vehicle’s dynamics are modeled without external perturbations and therefore apply a vision based Proportional Integral Derivative (PID) control for the study of its behavior through simulations using computational tools to simulate a 3D scenario and get the matrix that contains the image from the inertial frame of reference view from the vehicle. First we need a static scenario that contains reference points such that we are able to apply the proposed vision based PID control; the virtual scenario was designed at the MATLAB’s virtual world editor that let us add sensors such as cameras, and set their parameters for make the study and simulations such as path following.

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Path Following Guidance Control with Bounded Control Effort: Application to the Charlie Unmanned Surface Vehicle

Cited by 3 publications

References 14 publications

Autonomous vessels: state of the art and potential opportunities in logistics

Autonomous vessels: state of the art and potential opportunities in logistics

Autonomous Vessels: State of the Art and Potential Opportunities in Logistics

Control PID basado en odometría visual monocular a un vehículo de superficie marino

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