| 摘 要: 电源分布网络(Power Distribution Network,PDN)是电源完整性问题的核心,其设计质量直接决定了工业控制系统在复杂电磁环境下的稳定性。针对喷雾式加油机控制系统PCB布局空间受限、电容选型与布局不合理导致电源噪声过大的问题,提出一种多目标粒子群算法(Multi-objective Particle Swarm Optimization,MOPSO)的PDN设计方法,在满足目标阻抗的同时,选择出电容最优的方案。该设计方法通过粒子群算法得到多组去耦电容的选择方案,经过多目标分析之后,选择一组最优解进行仿真与实物制作。仿真与实验表明,该方法在紧凑空间下成功将PDN谐振峰值降低了15%,电源噪声幅度下降了21%,显著提升了控制系统的稳定性与可靠性。 |
| 关键词: 电源分配网络 去耦电容 电容布局 阻抗优化 粒子群优化 多目标优化 |
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中图分类号: TP
文献标识码:
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| 基金项目: 国家重点研发计划项目：纱线生产关键工序质量在线检测传感器及系统应用（SQ2023YFB3200093），浙江省科技计划项目：低压电器产品工艺再造及全自动柔性装配关键技术研发 -高性能电动机启动器装配工艺再造及全自动智能柔性生产线关键技术研发（2024C01133） |
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| PDN Analysis and Optimization of Fuel Injector Control System Based on MOPSO |
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XuXin, HuXudong, LiJianqiang
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Zhejiang Sci-Tech University
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| Abstract: The power distributed network (PDN) is the core of the power integrity (PI) problem, and its design quality directly determines the stability of industrial control systems in complex electromagnetic environments. Addressing the issue of excessive power supply noise caused by limited PCB layout space and unreasonable capacitor selection and placement in a spray refueling machine control system, a multi-objective particle swarm optimization (MOPSO) PDN design method is proposed. This method selects the optimal capacitor scheme while satisfying the target impedance. The design method obtains multiple decoupling capacitor selection schemes through the PSO algorithm. After multi-objective analysis, the optimal solution is selected for simulation and physical fabrication. Simulation and experiments show that this method successfully reduces the PDN resonant peak value by 15% and the power supply noise amplitude by 21% in a compact space, significantly improving the stability and reliability of the control system. |
| Keywords: Power distribution network decoupling capacitor capacitor layout impedance optimization particle swarm optimization multi-objective optimization |
