Integrated fire/flight control of armed helicopters based on C-BFGS and distributionally robust optimization

doi:10.23919/JSEE.2024.000120

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (6): 1604-1620.doi: 10.23919/JSEE.2024.000120

• CONTROL THEORY AND APPLICATION • Previous Articles

Integrated fire/flight control of armed helicopters based on C-BFGS and distributionally robust optimization

Zeyu ZHOU(), Yuhui WANG(), Qingxian WU()

College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received:2024-01-17 Online:2024-12-18 Published:2025-01-14
Contact: Yuhui WANG E-mail:zhouzeyu@nuaa.edu.cn;wangyh@nuaa.edu.cn;wuqingxian@nuaa.edu.cn
About author:
ZHOU Zeyu was born in 1996. He received his B.S. degree in detection guidance and control technology from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2018. He is pushing his Ph.D. degree in control theory and control engineering, with Nanjing University of Aeronautics and Astronautics. His research interests include fire/flight control, robust optimization, and air combat decision-making. E-mail: zhouzeyu@nuaa.edu.cn

WANG Yuhui was born in 1980. She received her B.S. degree in electrical engineering and its automation from University of Jinan, Jinan, China, in 2001, and Ph.D. degree in control theory and control engineering from Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2008. She is a full professor with the College of Automation Engineering, NUAA. Her current research interests include nonlinear system control, intelligent control, and flight control. E-mail: wangyh@nuaa.edu.cn

WU Qingxian was born in 1955. He received his B.S. degree in control theory and control engineering from Southeast University, Nanjing, China, in 1985. He is currently a full professor with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. His research interests include nonlinear system control, intelligent control, air combat decision-making, and flight control. E-mail: wuqingxian@nuaa.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (62373187) and Forward-looking Layout Special Projects (ILA220591A22).

Abstract

Abstract:

To meet the requirements of modern air combat, an integrated fire/flight control (IFFC) system is designed to achieve automatic precision tracking and aiming for armed helicopters and release the pilot from heavy target burden. Considering the complex dynamic characteristics and the couplings of armed helicopters, an improved automatic attack system is constructed to integrate the fire control system with the flight control system into a unit. To obtain the optimal command signals, the algorithm is investigated to solve nonconvex optimization problems by the contracting Broyden Fletcher Goldfarb Shanno (C-BFGS) algorithm combined with the trust region method. To address the uncertainties in the automatic attack system, the memory nominal distribution and Wasserstein distance are introduced to accurately characterize the uncertainties, and the dual solvable problem is analyzed by using the duality theory, conjugate function, and dual norm. Simulation results verify the practicality and validity of the proposed method in solving the IFFC problem on the premise of satisfactory aiming accuracy.

Key words: integrated fire/flight control (IFFC), armed helicopter, improved contracting Broyden Fletcher Goldfarb Shanno (C-BFGS) algorithm, memory nominal distribution, Wasserstein distance, distributionally robust optimization

Zeyu ZHOU, Yuhui WANG, Qingxian WU. Integrated fire/flight control of armed helicopters based on C-BFGS and distributionally robust optimization[J]. Journal of Systems Engineering and Electronics, 2024, 35(6): 1604-1620.

Figures/Tables 9

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Algorithm	ATR-WC-CVaR	RO	Proposed algorithm
Average gradient evaluation/s	1.2442	1.2212	1.2208
Average function evaluation/s	1.3759	1.3550	1.3494
Average running time/s	11.317	10.215	10.204

Integrated fire/flight control of armed helicopters based on C-BFGS and distributionally robust optimization

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