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开关变换器实时仿真中Adams–Bashforth方法重置记忆的必要性

The Necessity of Resetting Memory in Adams–Bashforth Method for Real-Time Simulation of Switching Converters

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中文摘要

随着FPGA在硬件在环(HIL)实时仿真中的广泛应用,开关电源的仿真面临挑战。由于开关状态切换会导致电路方程突变,在利用多步数值方法(如Adams–Bashforth)进行仿真时,若未妥善处理历史数据,将导致仿真精度下降甚至发散。本文探讨了在开关动作瞬间重置记忆的必要性及其对实时仿真准确性的影响。

English Abstract

The field-programmable gate array implementation of real-time hardware-in-the-loop techniques is constantly growing due to its high speed. However, hardware implementation of switched-mode power supplies introduces some challenges because their equations are changed depending on the state of the switches. This becomes more important in multistep numerical methods, which use several previous values...
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SunView 深度解读

该研究直接服务于阳光电源的研发测试环节。在光伏逆变器(组串式/集中式)及储能系统(PowerTitan/PowerStack)的开发过程中,高精度的HIL仿真对于验证控制策略至关重要。由于电力电子变换器存在频繁的开关动作,该文献提出的Adams–Bashforth方法记忆重置策略,能显著提升FPGA仿真平台在处理复杂拓扑切换时的数值稳定性与精度。建议研发团队在iSolarCloud智能运维平台的数字孪生模型构建及PCS控制算法的离线验证中引入该优化方法,以缩短产品开发周期并降低实机测试风险。