Control Systems Design

Modelon Impact helps teams build field models for various technical systems. Validated models can be coupled to real-world controllers using co-simulation, allowing teams to streamline controller design and deploy tested and pre-calibrated controllers at reduced expense. Models can likewise be used to develop control concepts for new technology or novel strategies for existing technologies. Additionally, exploring the performance of different transient process systems, linear and nonlinear systems, predictive control strategies, optimal control solutions, or AI-based controllers leads to better operating outcomes. With Modelon Impact, users can: 

• Reduce commissioning costs 

• Develop control concepts for new technologies in energy, aerospace, and automotive industries 

• Deploy tested, pre-calibrated controllers 

Notable Modelon Impact capabilities and features for creating field models include: 

• Thermal Power Library, which helps users develop dynamic models for analyzing and evaluating energy storage

• Pre-built models which can be customized and tailored to users’ needs

How do engineers find the set points for automatic controls? How will component sizing decisions early in the design process limit or increase control options later? How do we define peak performance or energy efficiency for a given design?

Modelon Impact helps engineering teams quantify performance, energy efficiency, and more. With Modelon Impact, you can: 

• Gather and analyze real-time data to monitor and control equipment that handles important and time-sensitive events 

• Use dynamic simulations for more extensive and efficient testing under a broader range of operating conditions, reducing the need for on-the-spot adaptations 

Notable Modelon Impact capabilities and features for supervisory control projects include: 

• Specific Libraries? Environmental Control Library? 

• FMI tools to process large amounts of data? 

• Dynamic simulations that make testing more efficient and reduce the need for onsite tuning

Model-predictive control (MPC) is an advanced approach that uses a system model to predict future behavior over a finite time horizon and act accordingly. In Modelon Impact, you can create a physics-based nonlinear plant model and then download it to the controller to continuously update the actuators. This makes it possible to meet more sophisticated objectives for energy efficiency under different operational constraints. Such controllers can deliver the best possible performance or energy efficiency for complex plants. 

With Modelon Impact, you can: 

• Simulate transient operations, such as start-up and load rejection, to verify that the control system handles those scenarios properly 

• Access all process variables, even those that are difficult to measure in the real world 

• Assess thermal and mechanical stress for all critical components  

• Adapt models for aerospace, automotive energy, and HVAC industries 

Notable Modelon Impact capabilities and features for model-predictive projects include: 

• Thermal Power Library

• Pre-built thermal conduction models, including calculations for thermal and mechanical stress 

Engineers use Modelon Impact to design control systems to manage thermal constraints in automotive and aerospace environmental control systems. In Modelon Impact, they can model complex integrated thermal management systems down to the individual components—including compressor control, valve control, pump control, fan control, and air distribution system control—to test different strategies for managing thermal requirements while maintaining system efficiency. With Modelon Impact you, can: 

• Scale your models to allow for varying levels of detail at different design stages 

• Model and manage vehicle thermal constraints, including crucial system components and occupant comfort 

Notable Modelon Impact capabilities and features for thermal management include: 

• Thermal Power Libraries to create models that can predict heat losses and temperature dynamics

•  Analytics to predict imbalances between cells 

Modelon’s Techno-Economic Optimization Framework helps power producers and grid operators assess potential control strategies across various key performance indicators: capital expenditures (CapEx), operating expenditures (OpEx), total cost of ownership, payback time, and more. The framework combines production and investment planning by optimizing component size and control strategy simultaneously.

With Modelon Impact, you can: 

• Assign capital expenditures and fixed or variable operating expenditures on a per-component basis
 

• Evaluate different control strategies under different potential real-world prices, interest rates, emission taxes, and other economic conditions


Notable Modelon Impact capabilities and features for techno-economic optimization include: 

• Energy Systems Library 

• Scalable unit models