Missile Autopilot Design using Artificial Neural Networks

نویسندگان

  • Adel Alsaraj
  • Gene Stuffle
چکیده

The power and speed of modern digital computers is truly astounding so that it enables carrying on complex tasks such as aerospace simulation, design and analysis, precisely. In addition to the nature of the guidance problem, the design technique, neural networks, necessitates cumbersome computations to yield precise and accurate performance. Neural networks approach the solution of this problem by trying to mimic the structure and function of the human nervous system. Therefore, this paper is devoted a new approach using the power of both computation facilities and neural networks in the design and analysis of an autopilot for the guidance system. Then, its performance is justified against the classical design approach through the Six degrees of freedom (6DoF) flight simulation.

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تاریخ انتشار 2015