Liu Lin, Chen Zongji, Tang Qiang, et al. Method based on μ-analysis techniques for the clearance of flight control laws[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(02): 141-144. (in Chinese)
Citation: Kong Yinan, Wang lixin, Qian Weiqi, et al. Neural network control in active vortex control based on low aspect ratio flying wing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(06): 677-680. (in Chinese)

Neural network control in active vortex control based on low aspect ratio flying wing

  • Received Date: 25 May 2007
  • Publish Date: 30 Jun 2008
  • A low aspect ration flying wing aircraft was researched. Full state feedback controller was used for the continuous control effectors to improve the stability of aircraft. To improve the control ability, a vortex flow controller(bang-bang controller) based on three layers BP neural network was used. Through adjust weights for states and the number of hidden layers, the designer could optimize the network. The convergence speed and precision of the network were improved by using variety step network. The evaluation criteria consist of closed-loop system performance and activity level of the vortex flow controller nozzles were given. The results show that application of a neural network controller improves general performance of regular design and makes controlling of the vortex flow controller activity more practical comparing to conventional controller.

     

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