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Aerospace and Defense

World-leading aerospace and defense organizations use MathWorks products and services to develop land, marine and aerospace systems. In addition to using MathWorks tools for model-based designs and technical calculations of products such as Airbus A380, F-35 Joint Strike Fighter, Mars Exploration Rover engineers and researchers have used these tools to develop unmanned aerial vehicles and advanced wireless systems.

MATLAB® and Simulink® products provide a flexible software environment for multi-disciplinary system designs, simulations requiring high precision, and process of creating flight computer codes abiding by safety standards such as DO-178B ve MISRA-C. Moreover, these products support communication and agility throughout the supply chain by offering a common software environment for sharing data, designs and organization definitions. This approach minimizes the program risk and allows faster developing of the critical systems required for completing work groups with success.

Guided Navigation and Control (GNC)

By using MATLAB and Simulink, control engineers can test control algorithms with plant models before application, thus, they can obtain complex designs without using expensive prototypes. They can design for multi-physical configurations such as common data route architecture of a satellite design. In a single environment engineers can work on:

  • Creating and sharing GNC models.
  • Integrating and simulating the effects of control and mechanical design changes on the system level.
  • Reusing automatically generated flight codes and test scenarios.
  • Integrating latest designs into old designs and vehicles.

Power Systems

Power system engineers use MATLAB and Simulink to run simulations for tasks such as performing power profile analysis, predicting the effects of battery ageing on the system, and creating in-depth design of electronic components like DC-DC converters.

By using the built-in blocks engineers can create fast models for electronic components and systems such as solar panels or voltage regulators, or they can create special blocks according to design requirements. Engineers, then, simulate the model to solve the underlying complex equation systems without writing sub-level codes, and illustrate their results instantly. Furthermore, engineers can add thermal and attitude effects on their models to perform multi-domain simulation in an environment.

Wireless System

Design, prototype, and test advanced algorithms, multi-purpose RF systems and antenna arrays for next-gen wireless communications, radar, and electronic war systems. With MATLAB and Simulink research engineers can rapidly prove feasibility of new technological concepts, eliminate design issues in the early stages of development cycle, and make design verification easier. With MATLAB and Simulink tools engineers can:

  • Model and illustrate complex communication and radar scenarios in intensive spectrum environments.
  • Simulate end-to-end communication connections, including baseband, RF, and antenna components.
  • Create and analyze standard-based (5G, LTE, WLAN) or special wave forms

Artificial Intelligence for Aerospace and Defense

MATLAB and Simulink provide a comprehensive platform for solving AI challenges from predictive maintenance to complex tasks like multimodal target identification. MATLAB empowers engineers even if they have limited AI experience. It helps teams better AI datasets, tackle integration challenges, reduce risk, and continuously test models in a system-wide context.

  • Optimize service of the fleet using predictive maintenance and digital twin capabilities, develop algorithms to detect and predict faults and failures, and estimate remaining useful life
  • Generate simulation-based training and test data for applications like radar waveform and target classification algorithms, and create complex control systems with reinforcement learning.
  • Employ deep learning and machine learning algorithms to create accurate models from various datatypes, and experiment with different architectures using apps and visualization tools
  • Deploy models anywhere including embedded GPUs and CPUs, enterprise systems, or the cloud

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