Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (6): 1784-1796.doi: 10.12305/j.issn.1001-506X.2023.06.22

• Guidance, Navigation and Control • Previous Articles     Next Articles

Stability analysis of radome parasitic loop based on simplified model

Xu CHEN, Yao XIAO, Lingyu YANG, Jing ZHANG   

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
  • Received:2022-01-07 Online:2023-05-25 Published:2023-06-01
  • Contact: Jing ZHANG

Abstract:

Aiming at the problem that the parasitic loop caused by radome error affects the stability of guidance system, a method of stability analysis of radome parasitic loop based on state space simplified model is proposed. In order to accurately analyze the influence of radome error characteristics on the stability of the guidance system, firstly a seeker-component-level model containing radome error is established and low-order equivalent system watching method is adopted to establish the simplified seeker model. The simplified model can accurately express the working character of seeker and effectively reduce the order of state space simplified model of guidance loop. On this basis, establishing the guidance/control/missile multi-loop linear time invariant (LTI) simplified model by using the small disturbance linearization method and combining with the low-order equivalent model of the seeker, the state space description of the guidance loop simplified model with radome error slope parameter is established. Based on the state space model of guidance loop with radome error characteristics introduced above, the stable region of radome error slope is analyzed and shaped by using root locus method, and the influence rule of different radome error slope on the stability of guidance system is analyzed. Finally, the simulation results verify the correctness of the stability analysis method of radome parasitic loop based on the simplified model.

Key words: radome error, parasitic loop, guidance loop, simplified model, stability analysis

CLC Number: 

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