control design for marine autonomous vehicles is a subject of great interest in the control systems. These vehicles are strongly non linear and show complex hydrodynamics effects that make difficult the control design...
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control design for marine autonomous vehicles is a subject of great interest in the control systems. These vehicles are strongly non linear and show complex hydrodynamics effects that make difficult the control design...
control design for marine autonomous vehicles is a subject of great interest in the control systems. These vehicles are strongly non linear and show complex hydrodynamics effects that make difficult the control design. Besides, the use of underactuated vehicles is very important for different reasons like simplicity, cost, efficiency, etc, so these vehicles and their use for collaborative tasks are main topics of investigation. A non linear control for path following for USVs is presented in this work with an infrastructure capable of performing multiple AUV and ROV in collaborative tasks. So this control law and this infrastructure will be used in future projects for formation control of USVs.
In this work a simulation platform for uninhabited marine and aerial vehicles is proposed. This platform is based in the MDA (Model Driven architecture) approach and the DEVS (Discrete Event System Specification) form...
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In this work a simulation platform for uninhabited marine and aerial vehicles is proposed. This platform is based in the MDA (Model Driven architecture) approach and the DEVS (Discrete Event System Specification) form...
详细信息
In this work a simulation platform for uninhabited marine and aerial vehicles is proposed. This platform is based in the MDA (Model Driven architecture) approach and the DEVS (Discrete Event System Specification) formalism. Platform independent models (PIM) are used to describe the vehicles and its interaction; then, theses models are traduced to platform-specific models (PSMs) in Matlab-Simulink, Java and other languages. DEVS formalism is designed to describe discrete events model, so in order to use continuous time models the second order quantified states simulation (QSS2) is proposed. This method is applied to an autonomous radio controlled hovercraft and its low level tracking controller.
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