中国舰船研究2025，Vol.20Issue(3)：232-240,9.DOI:10.19693/j.issn.1673-3185.03812
基于Middlebrook的舰船电力电子化推进系统的稳定性分析和控制器参数优化方法
Stability analysis and controller parameter optimization method for ship power electronic propulsion system based on Middlebrook criterion
摘要
Abstract
[Objective]Aiming at the stability problem of naval DC propulsion systems with a significant proportion of power electronic devices,a stability analysis and controller parameter optimization method based on the Middlebrook impedance ratio stability criterion is proposed.[Method]First,the small-signal output impedance of the DC bus and small-signal input impedance of the inverter and motor are deduced and estab-lished through the simplification of the system model,linearization of the nonlinear system,dq transformation of the three-phase AC system,etc.The controller parameters are then optimized using a particle swarm algorithm to minimize the value of support capacitance on the condition of ensuring system stability.Finally,a simula-tion model of the DC propulsion system is constructed to simulate and analyze the influence of the support ca-pacitance and equivalent resistance and inductance of the DC bus on the stability of the system.[Results]The simulation results show that the system's stability margin is obviously improved after the con-troller parameters are optimized by the particle swarm algorithm,which in turn lowers the value of support ca-pacitance and reduces the overall size of the DC propulsion system's converter.[Conclusion]The findings of this study can provide useful references for research on voltage oscillations and their suppression in integr-ated power systems with a significant proportion of power electronic devices.关键词
电力电子化装置/舰船直流推进/稳定性分析/Middlebrook判据/小信号模型/支撑电容/粒子群算法/船舶推进系统Key words
power electronics device/ship DC propulsion/stability analysis/Middlebrook criterion/small signal model/support capacitor/particle swarm optimization(PSO)/ship propulsion分类
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徐成虎,李维波,张浩,彭智明,方华亮..基于Middlebrook的舰船电力电子化推进系统的稳定性分析和控制器参数优化方法[J].中国舰船研究,2025,20(3):232-240,9.基金项目
国家重点研发计划资助项目(2020YFB1506802) （2020YFB1506802）
国家自然科学基金面上项目资助(51977164) （51977164）
