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Orcaflex automation matla full#
Orcaflex automation matla software#
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If individual pitch control mode is selected then each blade has an independent pitch value. If common pitch control mode is selected, then all blades share the same pitch angle, as was the behaviour in previous versions. This feature is enabled by the new data item pitch control mode.

Blade pitch angle can now be controlled for individual blades.

This accounts for the time that the turbine's wake takes to adjust to a change of flow conditions.

The Øye dynamic inflow model can optionally be used when calculating the rotor aerodynamic loading.

Based on potential theory, these models allow the tower's influence on the undisturbed wind field, due to the so-called tower dam effect, to be accounted for.

The turbine can now be associated with a tower by choosing from two tower influence models.

We are sure that users will have many other feature requests, and we look forward to receiving such feedback and prioritising future developments. We will address that in the next development cycle. We are aware that, for large meshes, performance can be greatly improved using iterative solvers. Perhaps most significantly, the program currently uses direct matrix solvers. This is the first release of OrcaWave and so there is still some desirable functionality that we have not yet had time to implement.

Orcaflex automation matla full#

Full details of OrcaWave's capabilities can be found in the documentation. Hydrodynamic data from OrcaWave output files can be imported seamlessly by OrcaFlex. OrcaWave can perform single body and multibody analyses, and first and second order calculations. If you have a licence of OrcaFlex, then you have access to OrcaWave. OrcaWave is licensed as part of the OrcaFlex product. OrcaWave is a diffraction analysis program which calculates loading and response for wet bodies due to surface water waves via potential flow theory.

Orcaflex automation matla software#

Bearing this in mind, if you would like to migrate some or all of your licences to the new software licensing system, please contact us. Because of this, the process of obtaining and maintaining a software licence is not yet as smooth as we would wish.

Orcaflex automation matla code#

While the code to implement software licensing is in place in OrcaFlex, we are still developing our back-office systems.

OrcaFlex now supports software licensing using FlexNet Publisher, in addition to the existing dongle-based licensing system. In order to use OrcaFlex version 11.0, or later, with Distributed OrcaFlex you must be using Distributed OrcaFlex 6.1 or later. Distributed OrcaFlexĪ number of changes have been made to the structure and layout of the installation directory which have an impact on Distributed OrcaFlex. The list is extensive and to help navigate the topic you can use the links below.Ī more in depth discussion of the major new features introduced in 11.0 is available on our blog. Using Simscape™, you can build physical models of your plant and then perform HIL simulation using Simulink Real-Time and Speedgoat target hardware.This topic lists all the changes that have been made to OrcaFlex since version 7.0. Engineers can start with desktop simulation using MATLAB ® and Simulink ® and then design, build, and test the real-time application.

You can use Simulink Real-Time™ and Speedgoat target hardware to perform real-time simulation and testing.

Industrial automation: Controller-plant testing, when stopping the production or assembly line to test control algorithms involves a huge amount of resources and business loss.

Automotive: Vehicle dynamics and controls, where it is impractical to test the functionality on the road in the initial phases.

Aerospace and defense: Flight simulators and flight dynamic control, where it is too complex to test the control algorithm on the actual aircraft.

HIL is also being adopted in medical devices, communications, semiconductors, and other industries. HIL simulation is widely used in the automotive, aerospace and defense, and industrial automation and machinery industries to test embedded designs. HIL simulation is especially useful when testing your control algorithm on the real physical system is costly or dangerous.