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以所建立的质量矩拦截弹数学模型为基础,通过对模型合理的简化,得到一个耦合的非线性动力学系统,利用非线性预测控制设计了拦截弹飞行控制系统.针对非线性预测控制算法的参数一般采用试凑的方法进行优化设计,提出一种基于蚁群遗传算法的非线性预测控制参数优化策略,同时应用遗传算法对蚁群算法的蚂蚁路径进行优化,并给出了这一算法的具体实现步骤,最后将该优化方法应用于拦截弹飞行控制系统.
Based on the established mathematical model of moment of mass interception, a coupled nonlinear dynamics system is obtained through rational simplification of the model, and the interceptor missile flight control system is designed by using nonlinear predictive control. For the nonlinear predictive control algorithm The parameters are generally optimized by the method of trial and error. A strategy of nonlinear predictive control based on ant colony genetic algorithm is proposed. At the same time, genetic algorithm is used to optimize the ant path of ant colony algorithm. Finally, the optimization method is applied to the interceptor missile flight control system.