Multidisciplinary System Design Optimization Using Model-Based Engineering to Support Phased Array Antenna Architectural Trades | NORTHROP GRUMMAN MISSION SYSTEMS

Date
May 3, 2018
Presenter
John Hodge
Antenna/RF Engineer
Northrop Grumman Mission Systems
Abstract

 

The typical challenge in RF sensor system design is to meet the customer’s specified mission or system performance needs while fitting within the cost, size, weight, and power (SWaP) constraints. Traditional design methods using non-connected models often fail to capture complex system interactions and make system optimization for all constraints difficult, time consuming, and error prone. Given the increasing complexity of RF sensor systems, a digitally integrated & connected analytical modeling solution is needed to identify system configurations that meet challenging mission requirements and provide the best cost, performance, & risk trade.

This work, utilizing ModelCenter, overviews how the Model-Based Engineering (MBE) Integrated Antenna Model has been leveraged to support radar and electronic warfare (EW) trade studies by integrating performance, SWaP, and cost models to explore design trades and optimization. Model-Based Systems Engineering (MBSE) and Multidisciplinary System Design Optimization (MSDO) techniques are combined to perform rigorous quantitative and analytical modeling of a phased array antenna system. 

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