Search

[Resumen] En este artículo se especifican las motivaciones, el diseño y el desarrollo de un software distribuido de comunicaciones para vehículos marinos con fines de investigación y docentes, encargado de la conexión de 2 modelos a escala de vehículos marinos y un ROV con un equipo en tierra. En este trabajo, se sientan las bases del diseño del citado software para futuras modificaciones del mismo con la posibilidad de incorporar más vehículos, primando por la escalabilidad del mencionado sistema. [Abstract] This article specifies the motivations, design and development of a marine vehicles distributed communications software for research and teaching purposes, in charge of the connection of 2 in-scale models of marine vehicles and a ROV with on land equipment. In this work, the bases of the design of the indicated software are established for future modifications of the same one with the possibility of incorporating more vehicles, giving priority to the scalability of the mentioned system. https://doi.org/10.17979/spudc.9788497498418

[Resumen] En este documento se presenta la aplicación de la teoría de filtrado Unscented Kalman para el filtrado de las señales de un vehículo subacuático teleoperado(ROV). Para ello, se emplea el modelo no lineal del ROV y se establecen como perturbaciones efectos de las olas de primer orden y ruido de los sensores. Estas perturbaciones se han incorporado a la salida de las señales de los movimientos a controlar. Se emplea el UKF que está especialmente indicado para sistemas no lineales y, por tanto, es adecuado para su implementación en este tipo de vehículos. El modelo utilizado es no lineal con aumento de estados correspondientes a las olas de primer orden. A partir del análisis de los resultados de las simulaciones se puede concluir que el filtro implementado es adecuado y se obtiene una señal de salida de la modelo adecuada para la realimentación al sistema de control. [Abstract] This document presents the application of a Unscented Kalman(UKF) filter for filtering signals from a remotely operated underwater vehicle ( ROV). For this, the nonlinear model of the ROV is used and are set as disturbances the first-order wave effects and noise from sensors. These disturbances have been incorporated at the output of the signals of the movements to be controlled. The UKF is used, which is specially indicated for nonlinear systems and, therefore, it is suitable for implementation in this type of vehicles. The model used is non-linear with increasing of states corresponding to the waves of first order. From the analysis of the results from the simulations it can be concluded that the implemented filter is adequate and the output signal of the model is suitable for feedback on to the control system. https://doi.org/10.17979/spudc.9788497498418

This paper addresses the problem of control design for a nonlinear maneuvering model of an autonomous underwater vehicle. The control algorithm is based on an iteration technique that approximates the original nonlinear model by a sequence of linear time-varying equations equivalent to the original nonlinear problem and a self-tuning control method so that the controller is designed at each time point on the interval for trajectory tracking and heading angle control. This work makes use of self-tuning minimum variance principles. The benefit of this approach is that the nonlinearities and couplings of the system are preserved, unlike in the cases of control design based on linearized systems, reducing in this manner the uncertainty in the model and increasing the robustness of the controller. The simulations here presented use a torpedo-shaped underwater vehicle model and show the good performance of the controller and accurate tracking for certain maneuvering cases.

This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have begun to be implemented. They try to reduce risks, but they still need to be optimized due to the complexity of the dynamics involved during the sinking process and the contact with the sea bed. A linear approximation of the dynamic model of the caisson is obtained and an LQG control strategy is implemented based on the Kalman filter (KF). The results of the proposed LQG control strategy are compared to the ones given by a classic controller. It is noted that the proposed system is positioned with greater precision and accuracy, as shown in the different simulations and in the Monte Carlo study. Furthermore, the control efforts are less than with classical regulators. For all the reasons cited above, it is concluded that there is a clear improvement in performance with the control system proposed. The Spanish FEDER/Ministry of Science, Innovation and Universities—State Research Agency is greatly acknowledged for partially funding our research through the SAFE Project (Desarrollo de un Sistema Autónomo para el Fondeo de Estructuras para Obras Marítimas), GrantAgreement: RTC-2017-6603-4. The Regional Ministry of Universities, Equality, Culture and Sports of the Gov-ernment of Cantabria has supported this work through the ControlFond project (Control De Ve-hículos Subacuáticos No Tripulados Para Supervisión De Estructuras Para Obras Marítimas Fondeadas). The authors would like to thank FCC Construcción CO as a collaborator in the de-velopment of the SAFE Project, specially Victor Florez Casillas and Nuria Cotallo Aguado (Tech-nical Direction/Hydraulic and Maritime Works) and Alvaro de Toro Mingo (Machinery Direction). R. Guanche also acknowledges financial support from the Ramon y Cajal Program (RYC-2017-23260) of the Spanish Ministry of Science, Innovation and Universities.

In this work, a methodology is proposed for the improvement of the parameter estimation efficiency of a non-linear manoeuvring model of a torpedo shaped unmanned underwater vehicle. For this purpose, data from different tests, were carried out with the aforementioned vehicle at the facilities of the CEHIPAR (Canal de Experiencias Hidrodinamicas de El Pardo), Madrid. In the proposed methodology, the following aspects are taken into account in order to improve the parameter estimation efficiency: selection of the sampling period, smoothing of the data acquired in the tests, considering a compromise between bias and variance of the smoothing filter to be applied, analysis of the classical linear regression model proposed in each trial from the statistical point of view for the estimation of the parameters. Improvements in efficiency are verified by graphical and statistical methods.

This paper presents a dynamic positioning control scheme for concrete caissons in an attempt to automate part of the manoeuvres which usually require a complex deploy of personnel and equipment for port infrastructures development. The aim of this paper is to propose a control scheme, which is able to provide a reduction in costs and an improvement in security for the dynamic positioning manoeuvres . To do so, a dual loop controller is developed and the unscented Kalman filter is applied for states and perturbances estimation. Furthermore, a control allocation algorithm is proposed based on anchoring lines and winches. Finally, some simulations are performed to verify the effectiveness of the proposed approach. The Spanish FEDER/Ministry of Science, Innovation and Universities — State Research Agency (Fig. 14) is greatly acknowledged for funding our research through SAFE Project (Desarrollo de un Sistema Autónomo para el Fondeo de Estructuras para Obras Marítimas), Grant Agreement: RTC-2017-6603-4. The authors would like to thank FCC CO as a collaborator in the development of the SAFE Project. R. Guanche also acknowledges financial support from the Ramon y Cajal Program (RYC-2017-23260) of the Spanish Ministry of Science, Innovation and Universities.

[Resumen] El presente trabajo tiene como objetivo integrar el estudio de la dinámica estructural y las técnicas de control en el ámbito de la ingeniería, mediante el diseño y aplicación de un mesa vibratoria teleoperada para experimentación on-line. Para ello, se han propuesto una serie de experiencias docentes con la mesa, que han sido valoradas positivamente por los estudiantes. [Abstract] The present work aims to integrate the study of structural dynamics and control techniques in the field of engineering, through the design and application of a teleoperated vibrating table for on-line experimentation. To this end, a series of teaching experiences with the table have been proposed, which have been positively evaluated by the students.

In the present article, based on a specific set of trials carried out in the CEHIPAR model basin, a parameter estimation of a torpedo-shaped underwater vehicle is performed. A complete modelling of the underwater vehicle is performed considering the dynamics of the vehicle and its actuators with data acquired in the model basin. Furthermore, it is proposed a modification of the conventional LOS method that works properly in presence of ocean currents. The modified LOS is applied to the torpedo-shaped model previously obtained and tested under realistic conditions.

This paper addresses the problem of control design and implementation for a nonlinear marine vessel manoeuvring model. The authors consider a highly nonlinear vessel 4 DOF model as the basis of this work. The control algorithm here proposed consists of a combination of two methodologies: (i) an iteration technique that approximates the original nonlinear model by a sequence of linear time varying equations whose solution converge to the solution of the original nonlinear problem and (ii) a lead compensation design in which for each of the iterated linear time varying system generated, the controller is optimized at each time on the interval for better tracking performance. The control designed for the last iteration is then applied to the original nonlinear problem.\ud \ud Simulations and results here presented show a good performance of the approximation methodology and also an accurate tracking for certain manoeuvring cases under the control of the designed lead controller. The main characteristic of the nonlinear system's response is the reduction of the settling time and the elimination of the steady state error and overshoot.

The aim of this paper is to obtain a heading model for the purpose of control of an in-scale fast-ferry TF-120 physical model, including the dynamics and kinematics, using a remote experimentation platform for marine vehicles. The physical model is developed to be autonomous and is controlled remotely from a PC using WiFi communications. The identification and validation of the model dynamics is obtained with turning circle maneuverings. The tests with the autonomous in-scale physical model of the high-speed ship were carried out on the coastline of the Bay of Santander. The parametric model identified is used to design different classical control structures for a heading autopilot, and a simulation of this system is performed in Simulink.

This paper presents the identification of non-linear ship manoeuvring models. It is a gray box approach in which some of the parameters of the models are known, and where a novel identification scheme for non-linear manoeuvring models based on two steps is proposed. In the first step, the structure of the model is selected using the stepwise method, and the parameters which present greater uncertainty are estimated. In the second step, a refinement of the estimates in the first step is carried out using a non-linear prediction error method with the unscented Kalman filter. As an application example, we consider a modern high-speed trimaran ferry using a full-scale trial and simulated data sets.

This paper presents a method for the estimation of thrust model parameters of uninhabited airborne systems using specific flight tests. Particular tests are proposed to simplify the estimation. The proposed estimation method is based on three steps. The first step uses a regression model in which the thrust is assumed constant. This allows us to obtain biased initial estimates of the aerodynamic coefficients of the surge model. In the second step, a robust nonlinear state estimator is implemented using the initial parameter estimates, and the model is augmented by considering the thrust as random walk. In the third step, the estimate of the thrust obtained by the observer is used to fit a polynomial model in terms of the propeller advanced ratio. We consider a numerical example based on Monte-Carlo simulations to quantify the sampling properties of the proposed estimator given realistic flight conditions.

In the present paper, a hybrid architecture based on multi-agent systems is proposed, where it is included a module for formal evaluation. This module, allows the processes verification involved in the level/layer/environment steps. It is also developed a methodology for trajectory tracking based on the generation of a reliable virtual space, on which the navigation takes place under operative conditions (safety and effectiveness). Time processing operations reduction is expected during the inspection.

[ES] En este artículo, se propone el diseño de un experimento alternativo a la maniobra de zig-zag estándar para la estimación de parámetros de modelos de maniobra lineales de buques. En el diseño del experimento, se realiza la selección de la frecuencia de una señal de entrada mediante un enfoque basado en la sensibilidad de los parámetros. La estimación de los parámetros se efectua utilizando un metodo de error de predicción junto con el filtro de Kalman. Para la evaluación del experimento diseñado con el estimador propuesto y la validación del modelo obtenido se proponen dos casos de estudio: uno en simulación y otro con datos adquiridos en aguas abiertas., [EN] In this paper we propose an experiment design alternative to the standard zig-zag maneuver in order to estimate parameters of ship linear maneuvering models. In the experiment design is selected the frequency of an input signal using a sensitivity approach. The parameter estimation is performed using prediction error methods together with the Kalman filter. For the evaluation of the designed experiment with the proposed estimator and for the model validation, we propose two cases of study: one in simulation and another one with acquired data in open waters.