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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Wu, H., Li, C., Wang, Y. (2009). FCMAC Based Guidance Law for Lifting Reentry Vehicles. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_27
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DOI: https://doi.org/10.1007/978-3-642-01513-7_27
Publisher Name: Springer, Berlin, Heidelberg
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