My name is Oscar Sarmiento.
I'm control system engineer and work for the company Continental
in the area of transmission actuators.
The business unit transmission develops mainly transmission control unit devices.
They are electronic components mainly used for controlling gear systems.
On top of that we develop different types of electrical and hydraulic actuators
and we have a wide range of sensors and
bowling flow devices that will find also application in the transmission area.
Customers are frequently asking for additional information in terms of what the component would do
when some of the boundary conditions change.
It means Continental was required to have a very
broad understanding on what the system requirement would be
in order to derive and conceptualize the requirements
of the specific components to fulfill customer application needs.
It means for us that we have to move
from a component supplier to a system supplier
and being a system supplier requires that you are not only understanding the needs of your component,
but you need to understand the way your customer wants to operate this device
and also how interaction from different nature is impacting the behavior of these elements
during transient or steady-state periods.
Well, the model-based systems engineering approach allows you to transparently communicate
between different teams coming from different domains.
And this is critical when you are developing mechatronic devices
because the needs and the mathematics and physics behind electrical or magnetic devices
defers from what you expect from mechanics and hydraulics for example.
The model-based engineering approach allows us also to understand the requirements at system-level,
differentiate between functional and non-functional requirements
and break them down into a specific component requirements.
Then, by having understanding and a clear picture on what the component is expected to deliver
we can roll out different testing strategies which are in most of the cases aligned to customer test procedures,
which facilitate the process of integration at the end.
That's the main reason for applying a model-based systems enginnering approach.
The selection of LMS Amesim was driven by the fact that it is a well-established,
well-recognized tool for 1D development.
In the area of mechatronic system it also fulfills the requirements in terms of communication with different
type of simulation environments.
As we know different needs and different tools are best selected
for electrical, mechanical and magnetic analysis,
but when you do the functional analysis you bring them all together into a common platform.
LMS Amesim provides us with the possibility to integrate them and evaluate at functional level.
Then, by looking how the system performs you can also automatically
implement and apply different type of tools to derive control algorithms and strategies
and also give insights on what would be the expected behavior or performance of our component
when boundary conditions are changing.
That was the main reason for selecting LMS Amesim.