摘要
为了提高开关电源变换器的建模精度和控制性能,提出了一种状态切换离散时间模型(State Switching Discrete time Model,SSDM).该模型在建模时考虑的是每个开关周期内的状态,而不是变换器的平均状态,故在高频下其精度比传统的状态平均模型更高.基于开关持续时间的全微分方程,精确计算一个周期内的电感电流和输出电压,从而推导出SSDM.此外,通过SSDM推导出极限电压响应(Limiting Voltage Response,LVR)控制策略.该策略通过电压预测计算出合适的占空比,以在最小开关周期内将输出电压调节为参考值.通过这种策略,变换器不仅实现了非常快的负载/线路瞬态响应和参考跟踪速度,而且在偏差电感下表现出很高的稳定性.最后,通过频率响应分析和实验验证了SSDM的准确性和系统的稳定性.实验结果表明,在不同工况下,LVR控制策略下的输出电压瞬态响应时间相比传统控制策略下的输出电压瞬态响应时间缩短了70%以上;当电感值偏离23%时,在LVR控制策略下的输出电压仍然保持稳定.
In order to improve the modeling accuracy and control performance of switching power converters,a state-switching discrete time model(SSDM)is proposed.The model considers the state of each switching period instead of the average state of the converter.Therefore,its accuracy is higher than that of the traditional state average model at high frequency.Based on the full differential equation of the switching duration,the inductor current and the output voltage in a cycle are accurately calculated,and the SSDM is derived.In addition,the limiting voltage response(LVR)control strategy is deduced by SSDM.The LVR control strategy calculates the appropriate duty cycle by voltage prediction to adjust the output voltage to the reference value in the minimum switching period.With this strategy,the converter not only achieves very fast load/line transient response and reference tracking speed,but also exhibits high stability under deviated inductance.Finally,the accuracy of the proposed strategy and the stability of the system are verified by frequency response analysis and experiments.The experimental results show that the transient response time of the output voltage under the LVR control strategy is more than 70%shorter than that under the traditional control strategy under different working conditions.When the inductance value deviates by 23%,the output voltage remains stable under the LVR control strategy.
作者
张明
邹谦
罗雷明
刘宁宇
张凡武
雷鹏
ZHANG Ming;ZOU Qian;LUO Leiming;LIU Ningyu;ZHANG Fanwu;LEI Peng(Beijing General Design Department of Space Vehicle,Beijing 100094,China;School of Optics and Electronic Information,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China;Jiufengshan Laboratory of Hubei Province,Wuhan 430075,Hubei,China;Technology Center of Dongfeng Motor Corporation,Wuhan 430056,Hubei,China)
出处
《微电子学与计算机》
2023年第6期100-108,共9页
Microelectronics & Computer
基金
国家自然科学基金项目(62074067)。
