DGCA Manufacturer Profile ID: Vau_Technovations_Limited@digitalsky

UAS Stability & Control

UAV Stability & Control

Course Information

Description:
Unmanned aerial vehicles redeem a vital role in plenty of the significant dull, dirty and dangerous missions, providing defence personnel with vital intelligence, surveillance, and reconnaissance. The steady increment in the utilization graph of the UAVs has been seen after the conflict in Afghanistan and Iraq, because of no personnel casualty during operating the UAVs. This fact acquired the attention of both the sectors, civil or defence due to the potential of this fledged machine. Either defence sector or civil sector, in both the platforms, everyone wants to reduce the time to accomplish the desired mission such as surveillance or inspection of construction site, without any peril. This course comprises the topics to provide the algorithms based UAS working principle knowledge.

Objectives:
The objective of this course is to provide the algorithmic approach to implement the control theory and data filtering techniques to build the Flight controller board, as well as basic knowledge of air vehicle elements.
 
Topics:
  • Flight Dynamics
  • Sensors
  • Micro-Processors & Micro-Controllers
  • Circuit Designing
  • Motors & ECSs
  • Power Source Selection
  • Algorithms Designing
  • Data-Filtering Approaches
  • Making of Flight Controller Board
  • Testing & Troubleshooting
Duration:

150-Hours

Eligibility:
  • The Minimum eligibility to join the course:
  • AME/Aeronautical Engineering/Aerospace Engineering/EEE/ECE/CS
  • Non-Aviation/Aviation Person
Textbooks and Supplementary Materials
  • UAS Directory
  • Elements of UAS, Hand Book
  • Booklets
  • CD (PPT, Application Based Videos and Books)
  • DPPS

Course Inquiry

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About Company

VAU TECHNOVATIONS LTD, enter into the Unmanned Aviation cosmos as a UAS Manufacturer company, based in India.

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Education

Expert Innovation refines the way to enhance our cognition ‘To puzzle out the Real time Engineering based Hidden Lines & Missing Curves problems and transmute it to our desirable algorithms’.