Koopman Predictor-Based Integrated Guidance and Control Under Multi-Force Compound Control System

This paper proposes a Koopman-predictor-based integrated guidance and control (IGC) law for the hypersonic target interceptor under the multi-force compound control. The strongly coupled and nonlinear guidance and control systems including the characteristics of the aerodynamic rudder, attitude control engine and orbit control engine are described as a linear IGC model based on the Koopman predictor. The proposed IGC law adapted to the linear IGC model is presented by combining the sliding mode control (SMC), the extended disturbance observer (EDO), and the adaptive weight-based control allocation scheme for being robust against the uncertainties and optimizing the fuel allocation for the fuel limited interceptor while intercepting the targets precisely. The stability of the proposed control law-based closed-loop system is guaranteed. The effectiveness and robustness of the proposed control law are proved by simulation comparisons and Monte Carlo tests.

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Publication Details

Journal
Aerospace
Published
2025-03-06
DOI
https://doi.org/10.3390/aerospace12030213
Citations
1
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Koopman Predictor-Based Integrated Guidance and Control Under Multi-Force Compound Control System

Gang Chen, Qian Peng, Zongyi Guo, Jianguo Guo
1 citations
Aerospace
Advanced Sensor and Control Systems
1.21
article

Koopman Predictor-Based Integrated Guidance and Control Under Multi-Force Compound Control System

Gang Chen, Qian Peng, Zongyi Guo, Jianguo Guo
article en
1 citations

Abstract

This paper proposes a Koopman-predictor-based integrated guidance and control (IGC) law for the hypersonic target interceptor under the multi-force compound control. The strongly coupled and nonlinear guidance and control systems including the characteristics of the aerodynamic rudder, attitude control engine and orbit control engine are described as a linear IGC model based on the Koopman predictor. The proposed IGC law adapted to the linear IGC model is presented by combining the sliding mode control (SMC), the extended disturbance observer (EDO), and the adaptive weight-based control allocation scheme for being robust against the uncertainties and optimizing the fuel allocation for the fuel limited interceptor while intercepting the targets precisely. The stability of the proposed control law-based closed-loop system is guaranteed. The effectiveness and robustness of the proposed control law are proved by simulation comparisons and Monte Carlo tests.

AerospaceVol. 12(3)
Northwestern Polytechnical University (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Department of Human Resources and Social Security of Shaanxi Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 24%
Advanced Sensor and Control Systems
1.21
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Koopman Predictor-Based Integrated Guidance and Control Under Multi-Force Compound Control System — Gang Chen, Qian Peng, et al. · Aerospace (2025) | TGRS Research Map | TGRS