Design of Missile Attitude Control System Based on Stochastic Robust Optimization

摘要

? 2019, Editorial Board of Journal of Ballistics. All right reserved. ? 2019, Editorial Board of Journal of Ballistics. All right reserved. In order to solve the problem that the control system designed by multi-objective optimization algorithm is not robust,the missile attitude control system parameters were designed based on stochastic robust method,and the comparison simulation was carried out. Based on a determined structure of attitude control system,an index system including system stability,time domain index and frequency domain index items was proposed according to the requirements for rapidity and stability of the system. On this basis,the appropriate fitness functions were established respectively for the particle swarm optimization algorithm and the stochastic robust method via appropriate weighting for the indicators or the indicator dissatisfaction probabilities,and then the parameters of the attitude control system were optimized in the parameter value interval. Monte Carlo simulation experiments show the effectiveness of stochastic robust methods for the design of robust control system. In order to solve the problem that the control system designed by multi-objective optimization algorithm is not robust,the missile attitude control system parameters were designed based on stochastic robust method,and the comparison simulation was carried out. Based on a determined structure of attitude control system,an index system including system stability,time domain index and frequency domain index items was proposed according to the requirements for rapidity and stability of the system. On this basis,the appropriate fitness functions were established respectively for the particle swarm optimization algorithm and the stochastic robust method via appropriate weighting for the indicators or the indicator dissatisfaction probabilities,and then the parameters of the attitude control system were optimized in the parameter value interval. Monte Carlo simulation experiments show the effectiveness of stochastic robust methods for the design of robust control system.