FCMAC Based Guidance Law for Lifting Reentry Vehicles

  • Authors:

  • Hao Wu;Chuanfeng Li;Yongji Wang

  • Affiliations:

  • Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China 430074 and Department of Computer and Information Engineering, Luoyang Institute of Scien ...;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China 430074

  • Venue:
  • ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
  • Year:
  • 2009

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Abstract

An improved nominal trajectory based guidance law for lifting reentry vehicle is proposed. In longitudinal guidance, an integrated controller comprised of LQR and FCMAC is utilized. LQR method is adopted to design state feedback controller according to the linearized models. FCMAC are introduced to correct the value of angle of attack and bank angle adaptively, by which the tracking performance of radial distance and range-to-go along the nominal trajectory is enhanced. In lateral guidance, a crossrange corridor is established to determine bank reversals according to dynamic adjusting criterion. 3DOF simulations for a lifting reentry vehicle model demonstrated the validity of this improved method.