全固态Marx发生器的智能控制系统研究OA
Research on Intelligent Control System of All-Solid-State Marx Generator
针对当前全固态Marx发生器存在的输出脉冲易振荡和系统响应慢等问题,设计了一种基于遗传算法优化模糊PID控制器的全固态Marx发生器.硬件采用移相全桥逆变电路与Marx倍压电路,采用遗传算法优化模糊PID控制器对量化因子及比例因子进行优化,实现复杂情况下的精准脉冲调控.实验结果表明,该发生器在输入1 kV直流电压时,输出脉冲幅值达10 kV,脉冲上升时间小于200 ns,重复频率达10 kHz.相较于模糊PID控制,遗传算法优化模糊PID控制提升了系统的动态响应速度与控制精度,为高功率脉冲系统提供了一种新的技术方案.
Control method based on A genetic algorithm optimized fuzzy PID for an all-solid-state Marx generator is proposed to address the problems of easy oscillation of the output pulse and slow response of the system in today's all-solid-state Marx generator.The hardware adopts phase-shifted full-bridge inverter circuit and Marx voltage-doubling cir-cuit.It combines a genetic algorithm-optimized fuzzy PID controller to optimize the quantization factor and the scaling factor to realize accurate pulse regulation in complex situations.The experimental results show that the generator can output pulse amplitude up to 10 kV,pulse rise time less than 200 ns,and repetition frequency up to 10 kHz when input-ting a 1 kV DC voltage.Compared with the fuzzy PID control,the genetic algorithm optimized fuzzy PID control im-proves the dynamic response speed and control accuracy of the system,which provides a new technical solution for the high-power pulse system.
杨云帆;董红政;葛运旺
河南科技大学信息工程学院,河南 洛阳 471000洛阳理工学院电气工程学院,河南 洛阳 471023河南科技大学信息工程学院,河南 洛阳 471000||洛阳理工学院电气工程学院,河南 洛阳 471023
信息技术与安全科学
全固态Marx发生器遗传算法模糊PID控制移相全桥
all-solid-state Marx generatorgenetic algorithmfuzzy PID controlphase-shifted full-bridge
《海军航空大学学报》 2026 (1)
254-262,9
河南省科技攻关项目(252102241003)
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