A computational guidance algorithm for impact angle control based on predictor-corrector concept

LIU Zichao; WANG Jiang; HE Shaoming; LI Yufei

doi:10.7527/S1000-6893.2021.25433

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2022 , Vol. 43 >Issue 8: 325433 - 325433

DOI: https://doi.org/10.7527/S1000-6893.2021.25433

Electronics and Electrical Engineering and Control

A computational guidance algorithm for impact angle control based on predictor-corrector concept

LIU Zichao ,
WANG Jiang ,
HE Shaoming ,
LI Yufei

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1. School of Aerospace Engineering, Beijing Institute of Technology Beijing 100081, China;
2. Beijing Key Laboratory of UAV Autonomous Control, Beijing Institute of Technology, Beijing 100081, China;
3. School of Information and Electronics Beijing Institute of Technology, Beijing 100081, China

Received date: 2021-03-01

Revised date: 2021-07-19

Online published: 2021-06-18

Supported by

Advanced Research Program of Air Force Equipment Department (3030209)

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Abstract

To solve the problem of missile guidance with constraint of terminal impact angle, a learning-based computational guidance algorithm is proposed based on the general predictor-corrector concept. A deep neural network is designed based on the relationship between the flight state and impact angle, to predict the exact terminal impact angle under proportional navigation guidance with realistic aerodynamic characteristics. A biased command to nullify the impact angle error is developed based on the relationship between impact angle error and the acceleration command, and the deep reinforcement learning techniques is utilized. The deep neural network is augmented into the reinforcement learning block to resolve the issue of sparse reward that has been observed in traditional reinforcement learning formulation. Extensive numerical simulations are conducted to verify the proposed algorithm. The simulation results show that the designed computational guidance method can realize impact angle control accurately. The guidance algorithm has high precision and low delay in embedded computer, which shows that the algorithm can be applied to engineering.

Key words： impact angle constraint; computational guidance; predictor-corrector guidance; bias proportion navigation; deep learning

Cite this article

LIU Zichao , WANG Jiang , HE Shaoming , LI Yufei . A computational guidance algorithm for impact angle control based on predictor-corrector concept[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022 , 43(8) : 325433 -325433 . DOI: 10.7527/S1000-6893.2021.25433

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