Avionic And Embedded System
16338
page-template-default,page,page-id-16338,bridge-core-3.2.0,qi-blocks-1.3.3,qodef-gutenberg--no-touch,tutor-lms,qode-page-transition-enabled,ajax_fade,page_not_loaded,,qode-child-theme-ver-1.0.0,qode-theme-ver-30.6.1,qode-theme-bridge,wpb-js-composer js-comp-ver-7.7.2,vc_responsive
 

Avionic And Embedded System

Objectives

 

  • Enhance Technical Expertise: Equip participants with advanced knowledge and hands-on experience in avionics and embedded systems, focusing on both hardware and software aspects.
  • Bridge Industry-Academia Gap: Foster a deeper understanding of industry standards and practices in avionics and embedded systems to ensure participants are industry-ready.
  • Promote Innovation: Encourage creative thinking and innovation in designing and implementing avionics systems, including the integration of IoT and AI for next-generation aerospace applications.
  • Develop Problem-Solving Skills: Train participants to troubleshoot and solve complex issues in avionics and embedded systems, using a systematic and analytical approach.
  • Enhance Career Opportunities: Prepare participants for career advancement in the aerospace sector by providing certification and exposure to real-world projects.

 

Outcomes

 

  • Technical Proficiency: Participants will gain a strong foundation in avionics and embedded systems, including familiarity with relevant software, programming languages (e.g., C, Python), and hardware platforms (e.g., microcontrollers, FPGAs).
  • Practical Skills: By the end of the program, participants will be able to design, develop, and test avionics systems, and implement embedded solutions in aerospace applications.
  • Project Experience: Participants will complete projects that simulate real-world scenarios, demonstrating their ability to apply theoretical knowledge to practical problems.
  • Industry Readiness: Graduates will be prepared to enter the workforce with the skills needed to meet the demands of the aerospace industry, particularly in avionics and embedded systems roles.

 

Scope

 

  • Target Audience: Engineering students, recent graduates, and professionals in the fields of electronics, aerospace engineering, and computer science who are interested in avionics and embedded systems.
  • Course Content:
    • Fundamentals of Avionics: Introduction to avionics systems, sensors, and instrumentation in aircraft.
    • Embedded Systems Design: Overview of embedded systems, microcontrollers, real-time operating systems, and interfacing techniques.
    • Programming for Embedded Systems: Instruction in programming languages used in embedded systems, such as C and Python.
    • Hardware Implementation: Hands-on training in working with hardware components like sensors, actuators, and microcontrollers.
    • Advanced Topics: Introduction to IoT, machine learning, and AI applications in avionics and embedded systems.
    • Industry Standards: Overview of aerospace industry standards (e.g., DO-178C for software and DO-254 for hardware) and compliance requirements.

 

 

Project

 

  • Project Title: Development and Integration of an Autonomous Flight Control System for UAVs (Unmanned Aerial Vehicles)
  • Objective: To design and implement an embedded avionics system that enables autonomous flight control in UAVs, integrating sensors, actuators, and communication modules.

 

  • Scope:

 

System Design: Develop the architecture of the flight control system, including sensor integration (e.g., GPS, gyroscopes, accelerometers) and actuator control.

Software Development: Write and deploy embedded software for real-time data processing, decision-making, and control of the UAV.

Testing and Validation: Test the system in a simulated environment, followed by real-world testing with a small-scale UAV.

Innovation: Explore the integration of AI algorithms for obstacle detection and avoidance, and optimize flight paths using machine learning techniques.

 

Outcomes:

 

    • A functional prototype of an autonomous UAV flight control system.
    • Comprehensive project documentation, including system design, software code, test results, and performance analysis.
    • Presentation of the project to industry experts for feedback and potential real-world application