考虑性能约束的高超声速变体飞行器自适应优化控制

doi:10.7527/S1000-6893.2025.32387

Abstract

Abstract: An adaptive optimal control method for hypersonic morphing vehicles with performance constraints is proposed considering the strong nonlinearity, large uncertainties and multi-source external disturbances during the morphing process. Firstly, the steady-state controller is designed based on adaptive prescribed performance control. The singularity problem of fixed performance function is solved by designing an adaptive scaling strategy. Furthermore, the optimal compensation controller is designed based on adaptive dynamic programming, which can be realized through offline-online policy iteration. The offline policy iteration enhances the stability of the network in the initial stage of online updates. The online policy iteration enhances the robustness of the optimal compensation controller by introducing the zero-sum game. Finally, the stability of the closed-loop system is analyzed based on Lyapunov stability theorems. Simulation results show that the proposed method improves the transient and steady-state performance of the vehicle system. The results also illustrate that the proposed method improves the robustness and adaptability to uncertainties and external disturbances during morphing flight process.

Key words: hypersonic morphing vehicles, performance-prescribed control, adaptive dynamic programming, policy iteration, zero-sum game

CLC Number:

V249.1

References

[1] 王帅, 晁涛, 韩宇辰等. 变体飞行器变形策略与控制方法研究进展[J]. 战术导弹技术, 2024, (04): 1-15.
WANG S, CHAO T, HAN Y C, et al. Research Progress on Morphing Strategies and Control Methods for Morphing Aircraft[J]. Tactical Missile Technology, 2022, 04: 1-15 (in Chinese).
[2] 王鹏, 陈浩岚, 鲍存余等. 变形飞行器建模及控制方法研究综述[J]. 宇航学报, 2022, 43(07):853-865.
WANG P, CHEN H L, BAO C Y, et al. Review on Modeling and Control Methods of Morphing Vehicle.[J]. Journal of Astronautics, 2022, 43(07): 853-865 (in Chinese).
[3] REN J R, HANG B, SANG M H, et al. Nonlinearity Compensation Based Robust Tracking Control of Nonlinear Nonminimum Phase Hypersonic Flight Vehicles [J]. ISA Transactions, 2022, 131: 236-245.
[4] GUO Z Y, Henry D, Gu X Y, et al. Performance-Guaranteed Attitude Tracking Control for RLV: A Finite-Time PPC Approach [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2024 , 60(4): 5024-5034.
[5] HUANG J, WANG T Y, WANG G, et al. Adaptive Fault-Tolerant Control for a Class of Flexible Air-Breaking Hypersonic Vehicles[J]. Asian Journal of Control, 2023, 25(5): 3792-3804
[6] 王忠森, 廖宇新, 魏才盛等. 高超声速飞行器快速终端滑模保性能容错控制[J]. 航空学报, 2023, 44(24): 162-175.
WANG Z S, LIAO Y X, WEI C S et al. Fault Tolerant Control of Fast Terminal Sliding Mode Preserving Performance of Hypersonic Vehicle.[J] Acta Aeronautica et Astronautica Sinica (in Chinese),.2023, 44(24): 162-175 (in Chinese).
[7] SHAO J C, CHE W W, SHAO K. Nonlinear Prescribed Performance Sliding Mode Control of Hypersonic Vehicles.[J] Int J Robust Nonlinear Control, 2024, 34(14): 9928-9948
[8] YIN Z.Y, WANG B, XIONG R T, et al. Attitude Tracking Control of Hypersonic Vehicle Based on an Improved Prescribed Performance Dynamic Surface Control.[J] The Aeronautical Journal, 2024, 128: 875–895.
[9] BU X W, Lv M L, Lei H M, et al. Fuzzy Neural Pseudo Control With Prescribed Performance for Waverider Vehicles: A Fragility-Avoidance Approach.[J]. IEEE Transactions on Cybernetics, 2023, 53(8): 4986-4999.
[10] 张化光, 张欣, 罗艳红, 杨珺. 自适应动态规划综述[J]. 自动化学报, 2013, 39(04): 303-311.
ZHANG H G, ZHANG X, LUO H Y, YANG J. An Overview of Research on Adaptive Dynamic Programming[J]. Acta Automatica Sinica, 2013, 39(4): 303-311 (in Chinese).
[11] BAO C Y, WANG P, TANG G J. Data-Driven Based Model-Free Adaptive Optimal Control Method for Hypersonic Morphing Vehicle.[J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59(4): 3713-3725.
[12] BAO C Y, WANG P, HE RZ, et al. Observer-Based Optimal Control Method Combination with Event-Triggered Strategy for Hypersonic Morphing Vehicle[J]. Aerospace Science and Technology, 2023, 136: 108219
[13] HUANG X, LIU J R, JIA C H, et al. Online Self-learning Attitude Tracking Control of Morphing Unmanned Aerial Vehicle Based on Dual Heuristic Dynamic Programming[J]. Aerospace Science and Technology, 2023, 143: 108727.
[14] WANG Z, WU T Y, ZHU Z X, et al. Reinforcement Learning-Based Adaptive Attitude Control Method for a Hypersonic Flight Vehicles Subject to Nonaffine Structure and Unmatched Disturbances[J]. Journal of Aerospace Engineering, 2023, 37(2): 04024003.
[15] Ye H, Meng Y Z, Wen L Y, Li Z Q. State Constrained Fault-Tolerant Control of Hypersonic Vehicle With Unknown Centroid Shift Based on Zero-Sum Game[J] IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(1): 831-843.
[16] Hu G J, Guo J G, Guo Z Y, et al. ADP-Based Intelligent Tracking Algorithm for Reentry Vehicles Subjected to Model and State Uncertainties[J]. IEEE Transactions on Industrial Informatics, 2023, 19(4): 6047-6055。
[17] HU G J, GUO J G, Jerome Cieslak, et al. Fault-Tolerant Control Based on Adaptive Dynamic Programming for Reentry Vehicles Subjected to State-Dependent Actuator Fault [J]. Engineering Applications of Artificial Intelligence, 2023, 123:106450.
[18] XU S H, WEI C Z, CAI L G, et al. Neural Network-Based Adaptive Optimal Tracking Control for Hypersonic Morphing Aircraft with Appointed-Time Prescribed Performance[J]. Journal of the Franklin Institute, 2024, 361(12): 107026
[19] AN K, WANG Z G, HUANG W. Adaptive Learning-Based Optimal Tracking Control System Design and Analysis of a Disturbed Nonlinear Hypersonic Vehicle Model [J]. Science China Technological Sciences, 2024, 67: 1893-1906.
[20] AN K, WANG Z G, HUANG W, et al. Performance-Prescribed Optimal Neural Control for Hypersonic Vehicles Considering Disturbances: An Adaptive Dynamic Programming Approach [J]. Aerospace Science and Technology, 2024, 152: 109370.
[21] 曹承钰, 李繁飙, 廖宇新,等. 高超声速变外形飞行器建模与固定时间预设性能控制[J]. 自动化学报, 2024, 50(03): 486-504.
CAO C Y, LI F B, LIAO Y X, et al. Modeling and Fixed-Time Prescribed Performance Control for Hypersonic Morphing Vehicle.[J] Acta Automatica Sinica, 2024, 50(3):486-504 (in Chinese).
[22] FAN W R, TIAN B L. Adaptive Multivariable Super-Twisting Sliding Mode Controller and Disturbance Observer Design for Hypersonic Vehicle [J]. Mathematical Problems in Engineering, 2016, 2016: 5291912.
[23] BU X W, WU X Y, HUANG J Q, et al. A Guaranteed Transient Performance-Based Adaptive Neural Control Scheme with Low-Complexity Computation for Flexible Airbreathing Hypersonic Vehicles[J]. Nonlinear Dynamics, 2016, 84(4): 2175-2194
[24] QIN C B, WANG J G, ZHU H Y, et al. Safe Adaptive Learning Algorithm with Neural Network Implementation for Control of Nonlinear Safe-Critical System [J] Int J Robust Nonlinear Control, 2023, 33: 372-391.

Adaptive optimal control for the hypersonic morphing vehicles considering performance constraints

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 5

Recommended Articles

Metrics

Comments

[1]	Honglin LIU, Guan WANG, Shuaibin AN, Shaojie MA, Kai LIU. Online identification based strong adaptive control of hypersonic morphing vehicles [J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(17): 331654-331654.
[2]	Bing XIAO, Haichao ZHANG. Reinforcement learning robust optimal control for spacecraft attitude stabilization [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(1): 628890-628890.
[3]	LIANG Xiaohui, HU Changhua, ZHOU Zhijie, WANG Qing. ADP-based intelligent attitude fault-tolerant control for launch vehicles [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(4): 524915-524915.
[4]	HAN Nan, LUO Jianjun, MA Weihua. Concurrent learning cooperative game control for attitude takeover of failed satellites [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(3): 324307-324307.
[5]	Liu Changyou;Zhang Siying. AN UNIFIED APPROXIMATE FEEDBACK SOLUTION OF COPLANAR VARIABLE-SPEED INTERCEPTION GAMES [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1989, 10(9): 427-433.