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开关变换器的二阶扩展状态空间模型
Second-order Extended State-space Model of Switching Converters
| 作者 | |
| 期刊 | 中国电机工程学会热电联产 |
| 出版日期 | 2025年9月 |
| 卷/期 | 第 2025 卷 第 5 期 |
| 技术分类 | 控制与算法 |
| 技术标签 | PWM控制 模型预测控制MPC 并网逆变器 储能变流器PCS |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 |
语言:
中文摘要
本文提出二阶状态空间平均模型(SOSSAM),在传统模型基础上引入开关周期的线性项,提升稳态精度与动态响应,显式反映开关周期对系统性能的影响,为变换器建模与控制器设计提供新基础。
English Abstract
The state space average model of switching con-verters transforms time varying differential equations into time invariant differential equations by the averaging method in math.The model has merits of simple,clear physical conception and easy to design control system,but it exhibits significant steady-state error and delayed dynamic response in some special param-eters or state conditions.Besides,the conventional state space average model(CSSAM)can't reflect how much the switching period influences system performance.The averaging method based on exact time domain solution approximation for the state variable is established in this paper.Subsequently,a second-order state-space average model(SOSSAM)which extends the constant term in CSSAM to a combination of constant term and linear term of the switching period is proposed.This model inherits the advantages of CSSAM and improves accuracy of steady state performance and dynamic response of switching converters.Influence of switching period to system performance is reflected,which lays a foundation for analyzing system performance and designing a control system of switching converters.
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SunView 深度解读
该模型可显著提升阳光电源组串式逆变器、ST系列PCS及PowerTitan储能系统的数字控制精度,尤其在宽负载范围和弱电网工况下改善动态响应与谐波抑制能力。建议在iSolarCloud平台的高级控制模块中集成SOSSAM参数自适应机制,支撑构网型GFM模式下的快速功率支撑与黑启动响应。