Length: 2 Days
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Design, Simulate, Test, And Deploy Space Systems With MATLAB And Simulink Training by Tonex

This comprehensive training course, “Design, simulate, test, and deploy Space Systems with MATLAB and Simulink,” offered by Tonex, equips professionals with the essential skills and knowledge to effectively design, simulate, test, and deploy space systems using MATLAB and Simulink. Participants will gain hands-on experience in leveraging these powerful tools to develop robust and efficient space systems, ensuring they meet the stringent requirements of the aerospace industry.

Participants will leave this course with a comprehensive skill set and practical experience, ready to contribute to the success of space missions and projects with confidence and expertise.

Learning Objectives:

Upon successful completion of this course, participants will be able to:

  • Master MATLAB and Simulink for Space Systems: Gain proficiency in MATLAB and Simulink to model, simulate, and analyze space system components and subsystems.
  • Design Robust Space Systems: Learn how to design space systems that meet mission objectives, ensuring reliability, efficiency, and compliance with industry standards.
  • Perform Thorough System Testing: Develop testing strategies and methodologies to rigorously evaluate space systems, identifying and mitigating potential issues.
  • Optimize for Space Constraints: Understand how to optimize space systems for size, weight, and power (SWaP) constraints, critical for space missions.
  • Navigate Regulatory and Compliance Challenges: Explore the intricacies of space regulations and standards, ensuring compliance throughout the design and deployment process.
  • Efficiently Deploy Space Systems: Learn the best practices for deploying space systems, including integration, launch, and mission operations.

Audience: This course is ideal for professionals and organizations involved in the design, development, and deployment of space systems. It is particularly relevant to:

  • Aerospace Engineers and Scientists
  • System Architects
  • Mission Planners
  • Spacecraft Designers
  • Satellite Engineers
  • Regulatory Compliance Specialists
  • Space Project Managers
  • Government Agencies and Contractors

Course Outline:

Introduction to MATLAB and Simulink for Space Systems

    • Overview of MATLAB and Simulink
    • MATLAB/Simulink Integration for Space Applications
    • Basic MATLAB and Simulink Commands
    • Simulating Space Systems: A Hands-On Exercise

Case Study: MATLAB and Simulink in Space System Design (Overview of CCSDS Space Protocols)

Upper Layers:

    • Space Packet Protocol (SPP)
    • Misson Operation (MO) Message Abstraction Layer (MAL) or MO-MAL
    • CCSDS File Delivery Protocol (CFDP)
    • Asynchronous Message Service (AMS)
    • Bundle Protocol (BP)
    • Licklider Transmission Protocol Convergence Layer Adapter (LTPCLA)
    • Encapsulation Packet Protocol Convergence Layer Adapter (ENCAPCLA)
    • Transaction Control Protocol Convergence Layer (TCPCLA ) Adapter
    • User Datagram Protocol Convergence Layer Adapter (UDPCLA)
    • Licklider Transmission Protocol (LTP)
    • IP over CCSDS (IPoC)

Data Link Layer:

    • Unified Space Link Protocol (USLP)
    • Telemetry (TM)
    • Telecommand (TC)
    • Advanced Orbiting Systems (AOS)
    • Proximity-1 (Prox-1)

Physical Layer:

    • RF
    • Optical

Design Principles for Space Systems

    • Space System Design Challenges
    • Mission Objectives and Requirements
    • Component Selection and Integration
    • Reliability and Redundancy Strategies
    • SWaP Optimization Techniques
    • Case Study: Designing a Spacecraft Subsystem

Space System Testing and Validation

    • Importance of Testing in Space Systems
    • Test Planning and Strategy
    • Hardware-in-the-Loop (HIL) Testing
    • Simulation Verification and Validation
    • Test Automation with MATLAB/Simulink
    • Case Study: Testing a Space System Component

Regulatory Compliance in Space Systems

    • Space Regulations and Standards
    • Compliance Challenges and Solutions
    • Documentation and Certification
    • Risk Assessment and Mitigation
    • Case Study: Navigating Regulatory Hurdles

Space System Deployment and Integration

    • Integration Processes and Best Practices
    • Launch Considerations and Procedures
    • On-Orbit Operations and Maintenance
    • Mission Planning and Execution
    • Case Study: Deploying a Space System

Advanced Topics in MATLAB and Simulink for Space Systems

    • Advanced Modeling and Simulation Techniques
    • Real-Time Simulation and Hardware Integration
    • Autonomous Systems and AI in Space
    • Future Trends in Space System Design
    • Course Recap and Next Steps

 

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