炮射导弹控制系统的多目标二级优化设计

Design of Multi-Objective Bi-Level Optimization about the Control System of Gun-Launched Missile

建立了炮射导弹多目标二级优化模型,提出了多目标二级混合遗传优化算法.对第一级多目标函数引入Lagrange乘子向量作为协调变量,采用两级递阶协调法实现多目标的第一级优化;针对遗传算法局部优化性能较差的缺点,将遗传算法与模式搜索法相结合,采用改进的遗传算法实现了多目标的第二级优化.仿真结果表明,所提出的多目标二级混合遗传优化算法收敛速度快,所设计的控制系统性能优于基于权重系数变换法的遗传算法的效果.

Multi-objective bi-level optimization model for the control system of gun-launched missile is discussed. A bi-level hybrid genetic optimization algorithm for multi-objective is presented to solve the control of gun-launched missiles. First, by introduceing a Lagrange multiplier vector, the first-level model is optimized based on a hierarchical optimal. Then, combining the genetic algorithm to the pattern search, the second-level model is optimized. Simulation experiments showed that this hybrid genetic optimization algorithm, when compared to the known genetic algorithm, had {aster convergence and the optimized control system of the gun-launched missile can track the maneuvered acceleration more accurately and rapidly.