Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (1): 181-190.doi: 10.3969/j.issn.1001-506X.2021.01.22

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Distributed adaptive cooperative guidance law of multiple projectiles with multiple constraints

Shiyan SUN1(), Shang JIANG2,*(), Fuqing TIAN1(), Weige LIANG1()   

  1. 1. Institute of Weapons Engineering, Naval University of Engineering, Wuhan 430033, China
    2. Department of Missile and Naval Gun, Dalian Naval Academy, Dalian 116000, China
  • Received:2020-05-27 Online:2020-12-25 Published:2020-12-30
  • Contact: Shang JIANG E-mail:ssy9751119@163.com;jiangshang1992@126.com;tianfq001@126.com;lwinger@outlook.com

Abstract:

Aiming at the terminal guidance section of networked guided projectile, while striking near shore maneuvering target, the distributed fuzzy adaptive cooperative guidance law is proposed based on synergetic consistency and Lyapunov stability theory. Considering impact angle constraint and the limited line of sight (LOS) angle rate measurement, the state space of cooperative guidance system is constructed. The extended state observer (ESO) is designed to observe the uncertain disturbances in the tangent, normal and lateral direction of LOS rapidly and accurately. In the tangent direction of LOS, the distributed cooperative control is designed by using integral sliding mode to ensure that the impact time tends to be same in finite time. In the normal and lateral direction of the LOS, a nonsingular terminal sliding mode with adaptive exponential reaching law is designed. The information of relative distance between missile and target and approach rate are used to make the LOS angle tracking error and LOS angle rate converge to zero in finite time. The fuzzy adaptive system (FAS) with universal approximation is introduced, which not only eliminates the high-frequency chattering induced by the sliding mode switching term, but ensures that the system is uniformly ultimately bounded (UUB). Simulation experiment shows that the guidance law enables the networking ammunition to attack maneuvering targets with better guidance performance compared with nonsingular terminal sliding mode method.

Key words: multiple constraints, distributed cooperation, fuzzy adaptive, extended state observer (ESO)

CLC Number: 

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