Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Ansys Maxwell serves as a powerful electromagnetic field solver tailored for electric machines, transformers, wireless charging systems, permanent magnet latches, actuators, and various electromechanical devices. It adeptly addresses the challenges of static, frequency-domain, and time-varying electric and magnetic fields. Additionally, Maxwell comes equipped with specialized design interfaces specifically for electric machines and power converters. With the capabilities of Maxwell, users can accurately analyze the nonlinear and transient behaviors of electromechanical components, as well as their impact on drive circuits and control system designs. By utilizing Maxwell’s state-of-the-art electromagnetic field solvers in conjunction with integrated circuit and systems simulation technologies, engineers can gain insights into the performance of electromechanical systems well before any physical prototypes are created. Moreover, Maxwell is recognized for delivering reliable simulations of low-frequency electromagnetic fields pertinent to industrial components, making it a valuable tool in the design and analysis process. This comprehensive approach not only enhances design efficiency but also aids in minimizing potential issues during the development stage.
Description
Cybernetica specializes in providing Nonlinear Model Predictive Control (NMPC) utilizing mechanistic models. Our innovative software solution, Cybernetica CENIT, features a versatile architecture capable of addressing diverse industrial challenges by delivering optimal strategies. This includes advanced multivariable optimal control, predictive control mechanisms, and intelligent feed-forward strategies, along with efficient handling of constraints. Furthermore, our adaptive control capabilities leverage state and parameter estimation, incorporating feedback from indirect measurements via the process model. The use of nonlinear models allows for effective operation across extensive ranges, enhancing the management of nonlinear processes. This leads to a diminished reliance on step-response experiments and bolstered accuracy in state and parameter estimations. Additionally, we offer control solutions for both batch and semi-batch operations, efficiently managing nonlinear processes that function under fluctuating conditions. Our technology also ensures optimal grade transitions in continuous operations, safe supervision of exothermic processes, and control of unmeasured variables, including conversion rates and product quality. As a result, we contribute to reduced energy consumption and a lower carbon footprint, while also enhancing overall process efficiency. In summary, Cybernetica is committed to advancing industrial control solutions that optimize performance and sustainability.
API Access
Has API
API Access
Has API
Integrations
Ansys Electronics Desktop (AEDT)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ansys
Founded
1970
Country
United States
Website
www.ansys.com/products/electronics/ansys-maxwell
Vendor Details
Company Name
Cybernetica
Country
Norway
Website
cybernetica.no/technology/model-predictive-control/
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling