【摘要】 基于由蒙特卡罗估计和遗传算法构成的随机鲁棒设计方法和全状态可测量的反舰导弹过载控制模型 ,提出了一种实用有效的随机鲁棒过载控制方法。由于是对直接依据系统鲁棒稳定性和鲁棒性能指标要求建立的随机鲁棒函数进行优化设计 ,所以该方法实质上是一种面向工程应用的综合设计方法。通过对某型反舰导弹的全弹道六自由度非线性时变控制系统的仿真 ,验证了该方法的有效性。更多还原

【Abstract】 In this paper, a practical and efficient approach is given to the stochastic robustness overload control for antiship missiles on the basis of the full state measurable model and stochastic robustness design method. The control system is designed by using Monte Carlo evaluation and a genetic algorithm to optimize stochastic robustness cost function depending on required stability and performance. This approach compromises robustness goals of system directly, therefore, it is substantially a synthetical designing method that faces engineering application. Simulation results for 6 DOF nonlinear model of antiship missiles prove this approach is effective.更多还原