导航

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (9): 3137-3146.doi: 10.7527/S1000-6893.2015.0056

• Electronics and Control • Previous Articles     Next Articles

Suicide drones' attack strategy on the condition of escort free-flight decoys influence

WANG Xiaoguang, ZHANG Weiguo, LIU Yang   

  1. College of Automation, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2014-09-25 Revised:2015-03-01 Online:2015-09-15 Published:2015-03-16
  • Supported by:

    National Natural Science Foundation of China (61374032); Aeronautical Science Foundation of China (20125853035)

Abstract:

The suicide drones' attack strategy under the influence of enemy's escort free-flight decoys is considered. Firstly, according to the suicide drone's operational characteristic, improved Lanchester equations are proposed. On the basis of airborne sensor's operational performance analysis, differential equations of the both sides' force attritions are established, so that the suicide drone's warfare rule can be described. Secondly, the optimal control method is applied to attack strategy analysis in Lanchester equations. Considering the Lanchester equations as state equations and taking suicide drones' attack probability as the control variable, the optimal control models of fixed and variable at terminal time can be separately established. Both optimal control problems are solved with Gauss pseudospectral method, so that the optimal attack strategies can be obtained. Lastly, the suicide drones' attack strategied are analyzed when enemy's killability is unknown, and the corresponding optimal attack strategies can be obtained. Under the given initial conditions, a series of simulations and verifications are carried out. The simulation results show that the models are feasible and the algorithm is effective, the methods described in the paper can provide references for air combat decision making.

Key words: suicide drone, escort free-flight decoys, attack strategy, Lanchester equations, optimal control

CLC Number: