首页|Trajectory tracking guidance of interceptor via prescribed performance integral sliding mode with neural network disturbance observer

Trajectory tracking guidance of interceptor via prescribed performance integral sliding mode with neural network disturbance observer

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This paper investigates interception missiles'trajectory tracking guidance problem under wind field and external disturbances in the boost phase.Indeed,the velocity control in such trajectory tracking guidance systems of missiles is challenging.As our contribution,the velocity control channel is designed to deal with the intractable velocity problem and improve tracking accuracy.The global prescribed performance function,which guarantees the tracking error within the set range and the global convergence of the tracking guidance system,is first proposed based on the traditional PPF.Then,a tracking guidance strategy is derived using the integral sliding mode control techniques to make the sliding manifold and tracking errors converge to zero and avoid singularities.Meanwhile,an improved switching control law is introduced into the designed tracking guidance algorithm to deal with the chattering problem.A back propagation neural network(BPNN)extended state observer(BPNNESO)is employed in the inner loop to identify disturbances.The obtained results indicate that the proposed tracking guidance approach achieves the trajectory tracking guidance objective without and with disturbances and outperforms the existing tracking guidance schemes with the lowest tracking errors,convergence times,and overshoots.© 2023 China Ordnance Society.Publishing services by Elsevier B.V.on behalf of KeAi Communications

BP network neuralIntegral sliding mode control(ISMC)Missile defensePrescribed performance function(PPF)State observerTracking guidance system

Wenxue Chen、Yudong Hu、Changsheng Gao、Ruoming An

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School of Astronautics,Harbin Institute of Technology,Harbin 150001,China

National Natural Science Foundation of China

12072090

2024

防务技术
中国兵工学会

防务技术

CSTPCD
影响因子:0.358
ISSN:2214-9147
年,卷(期):2024.32(2)
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