ANFIS-based Predictive Reentry Guidance for Hypersonic Vehicles

doi:10.3969/j.issn.1000-1093.2014.12.013

Abstract

Abstract: An adaptive neuro-fuzzy inference system (ANFIS) based predictor-corrector guidance is proposed for the nonlinearity of the reentry kinematic equations of hypersonic vehicles. The energy-based three degrees of freedom reentry kinematic equations are established, and the longitudinal and lateral guidance laws are designed. For the longitudinal guidance, an ANFIS controller is designed by taking energy and range error as system inputs and bank angle variation as system output. The lateral guidance is based on the approximate linearity between crossrange and energy. A lateral reversal logic based on the cross range corridor is designed. Simulation results show that the proposed guidance law has the advantages of less calculating time and high guidance precision, and is not sensitive to the initial errors and disturbances.

Key words: control science and technology, reentry guidance, predictor-corrector, hypersonic vehicle, adaptive neuro-fuzzy inference system

CLC Number:

V448.234

RAN Mao-peng, WANG Qing, MO Hua-dong, DONG Chao-yang. ANFIS-based Predictive Reentry Guidance for Hypersonic Vehicles[J]. Acta Armamentarii, 2014, 35(12): 2016-2022.

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