The Siemens Community Catalyst program was co-created with our community to acknowledge technology leaders who consistently contribute to the Siemens Community. Nominations are accepted on a rolling basis.
Submitted by Mala Gowda on Thu, 01/24/2013 - 15:50
Hi Anders:
How does sampling rate of target interface affect the system performance or CPU utilization and on what basis system properties like start, end and time step has to be set.
Regards, MALA
Submitted by Anders89 on Thu, 01/24/2013 - 20:02.
In any controller, the sample rate is key to system performance. The I and D coefficients of a PID, and digital filter coefficients are dependent on sample rate. If you sample faster or slower than the design rate, the coefficents will need to be adjusted for the new rate. Closed loop system response is also dependent on sample rate as well. Generally, the controller behavior will get worse with a slower sample rate, and it is likely that the system can not be controlled below a certain rate. The faster you sample, the more CPU usage you will see. So you will have to balance sample rate with controller complexity. The sample rate for embedded systems is taken from the Time Step parameter in the System Properties dialog. The Time Start and Time End parameters are ignored for embedded target code generation. They only apply to simulations.
Join us for a community conversation on how High-Performance Computing (HPC) and Simcenter PSIM work together to meet the increasing demands of modern power electronics simulation. During this one-hour technical session, you'll discover how leveraging HPC can speed up simulations, improve scalability, and empower engineers…
Join us for a community conversation on accelerating your motor simulation workflow with Simcenter Simlab. In this beginner-friendly session, we'll introduce the platform's automated model-building capabilities and show how easy it is to set up your first electric motor analysis. You'll see the basic steps of geometry…
Join us for a Community Conversation where we'll discuss practical approaches to analyzing complex electromagnetic models using hybrid solver techniques. This session will provide a general overview of how different computational methods can be combined within a single simulation to address models containing varied…
