Online Aerodynamic Parameter Estimation of a Miniature Unmanned Helicopter Using Radial Basis Function Neural Networks

Introduction of embedded:
Embedded system debugging involves more conceptual layers of a target system than debugging for time-sharing systems. Consider the case of debugging a C program within a time-sharing system. User-debugger interaction occurs almost entirely at a C language level of abstraction. Descent into assembly language and machine code representations of a target program is rare. Suspicions about a compiler bug may require inspection of generated assembly code.
About robotics
A robot is a mechanical intelligent agent which can perform tasks on its own, or with guidance. In practice a robot is usually an electro-mechanical machine which is guided by computer and electronic programming. Robots can be autonomous or semi-autonomous and come in those two basic types: those which are used for research into human-like systems, such as ASIMO and TOPIO, as well as those into more defined and specific roles, such as Nano robots and Swarm robots; and helper robots which are used to make or move things or perform menial or dangerous tasks, such as Industrial robots or mobile or servicing robots.


Abstract:
           Miniature helicopters have been used extensively in the development of unmanned aerial vehicles. Their inherent ability to take-off and land vertically, hover, forward flight and aerobatic maneuvers have made them ideal for flight through confined spaces such as urban areas. Miniature helicopters have a higher thrust-to-weight ratio than their full-scale counterparts.
Proposed system:
       In this project the Helicopter is used for surveillances purpose to monitoring the environment. Movement of helicopter is controlled by using RF communication with joystick and also it’s consisting of CCTV camera to monitoring the environment.   

Hardware Required:
  1. Micro controller
  2. RF Tx, Rx
  3. Driver section
  4. CCTV camera

Software Required:
  1. Keil compiler


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