Electronic Science and Technology ›› 2022, Vol. 35 ›› Issue (8): 27-33.doi: 10.16180/j.cnki.issn1007-7820.2022.08.005

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Optimization Allocation Strategy of ECU Redundancy under EMP

JI Zhenjie1,WEI Minxiang1,ZHA Yueheng2,ZHOU Dong1,CAO Jie1   

  1. 1. College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China
    2. Jiangsu Cultural Center,Nanjing 210016,China
  • Received:2021-03-07 Online:2022-08-15 Published:2022-08-10
  • Supported by:
    National Defense Pre-Research Projects(1002-ACA16008)


In order to solve the redundancy allocation problem in the control unit, a quantum chaotic adaptive particle swarm optimization algorithm and a hybrid strategy of thermal backup are proposed. According to the common cause failure under the electromagnetic pulse, electronically controlled unit is simplified into a series and parallel system, and β factor is introduced to build a Markov model with the highest reliability as the objective function and the redundancy number as the constraint condition. The quantum chaos adaptive particle swarm optimization algorithm is used to optimize the maximum reliability of electronically controlled unit under electromagnetic pulse. The simulation results show that the hybrid strategy and optimization algorithm improve the calculation efficiency and the accuracy of redundancy allocation, which provides a reference basis for the redundancy reinforcement of electronically controlled unit under electromagnetic pulse.

Key words: EMP, ECU, redundancy allocation, optimization algorithm, reliability, electromagnetic bionics, hot and warm backup strategy, Markov model

CLC Number: 

  • TP302