Two-Objective Optimization Design for Pulsed Power Supply

Zhengjun Shi, Xinjie Yu
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Abstract

A novel two-objective optimization design model for pulsed power supply (PPS) is proposed in this paper. The objectives are the muzzle velocity and the stored-to-kinetic energy efficiency. The design variables include the operating voltage and the trigger delay times between segments. The acceleration of the armature is constrained to lower than 106 m/s2. The optimization results for the muzzle velocity and the efficiency separately show that (1) the acceleration constraint has great influence on the performance; (2) wide current pulse yields high velocity but low efficiency; and (3) the operating voltage has to be increased to accelerate a heavier projectile to a certain velocity, or at a certain efficiency. Pareto solution fronts for various projectile masses are found using the non-dominated sorting genetic algorithm (NSGA-II) under the integration environment of iSIGHTTM software. Numerical results show that the NSGA-II can provide a set of feasible Pareto solutions for the two-objective optimization design model of PPS, among which the "best" one is to be extracted according to the designer's requirements.
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脉冲电源的双目标优化设计
提出了一种新的脉冲电源双目标优化设计模型。目标是初速和储存动能的效率。设计变量包括工作电压和段间触发延迟时间。电枢的加速度被限制在106米/秒以下。初速和效率的优化结果表明:(1)加速度约束对性能影响较大;(2)宽电流脉冲速度高但效率低;(3)为了使较重的弹丸加速到一定的速度,或以一定的效率,必须增加工作电压。在iSIGHTTM软件集成环境下,利用非支配排序遗传算法(NSGA-II)找到了不同弹丸质量的Pareto解前沿。数值结果表明,NSGA-II可以为PPS双目标优化设计模型提供一组可行的Pareto解,并根据设计者的要求提取其中的“最优”解。
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