基于遗传算法的飞行器追踪拦截模糊导引律优化设计

doi:航空科学基金资助项目

吉林大学学报(工学版)

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Optimization Design of Fuzzy Logic Control Guidance Law Based on Genetic Algorithm for Pursuit and Interception of Flight Vehicle

LUO Delin¹， SHEN Chunlin¹， WU Wenhai²， LI Yufeng¹

1.College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China；2. Qingdao Branch, Navy Aeronautical Engineering Institute, Qingdao 266041，China

Received:2004-11-05 Revised:2004-12-26 Online:2005-07-01 Published:2005-07-01
Contact: SHEN Chunlin

Abstract

Abstract: In order to solve the problem of pursuit and interception for flight vehicle, a fuzzy logic guidance law based on genetic algorithm was studied. The design of this law was on the basis of fuzzy logic theory, closing velocity and rate of LOS angle as input and control command of pursuer as output in the process of pursuit and interception. After the construction of proper fitness function, fuzzy partition number, parameter of membership functions and fuzzy inference rules were optimized through using genetic algorithm. The comparison of the performance for the designed guidance law with that of pure fuzzy logic guidance law and proportional guidance law widely used in practical engineering was conducted. Simulation results show that the proposed law is superior to the other two.

Key words: flight vehicle control and airmanship, fuzzy logic control, guidance law, pursuit and interception, simulation, genetic algorithm

CLC Number:

V448

LUO Delin， SHEN Chunlin， WU Wenhai， LI Yufeng. Optimization Design of Fuzzy Logic Control Guidance Law Based on Genetic Algorithm for Pursuit and Interception of Flight Vehicle[J].吉林大学学报(工学版), 2005, 35(04): 415-419.

References

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