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作 者:孙孝哲 张祯滨 韩明昊 李真 刘晓哲 Sun Xiaozhe;Zhang Zhenbin;Han Minghao;Li Zhen;Liu Xiaozhe(School of Electrical Engineering Shandong University,Jinan 250061 China)
出 处:《电工技术学报》2024年第10期3093-3104,3140,共13页Transactions of China Electrotechnical Society
基 金:深圳市科技计划(JCYJ20210324132616040);广东省基础与应用基础研究基金(2022A1515240028);国家自然科学基金(51977124,52277192,52277191)资助项目。
摘 要:该文以双有源全桥(DAB)DC-DC变换器为主要研究对象,针对传统比例积分控制动态响应慢及采用既有预测控制对量测噪声和参数敏感的缺陷,提出一种基于无电流传感器模型预测控制(CS-MPC)策略。首先构建双有源全桥DC-DC变换器的预测模型,分别针对变换器启动阶段与暂态过程提出基于模型预测控制(MPC)的动态优化策略;然后定量分析DAB变换器对模型参数和采样精度的敏感性,结合卡尔曼滤波算法构建其状态空间模型,在无电流传感器的情况下实现系统的鲁棒预测控制;最后在实验样机上通过实验验证所提方法的有效性。实验结果表明:与传统控制策略相比,所提方法能够实现低电流应力下的快速启动,且动态响应性能明显改善。此外,所提方法无需电流传感器数据,即对测量噪声脱敏;在参数变化下的鲁棒性能较传统预测控制显著提升。With the development of renewable energy power generation,electrified transportation,and energy storage systems,the power system is entering a new stage of coordinated and optimized operation of source-grid-load-storage.The energy router based on power electronic devices can flexibly access and efficiently use various renewable energy sources,which has become the core equipment of the new power grid.The dual active full-bridge(DAB)DC-DC converter has the advantages of high power density,bidirectional energy transmission,natural electrical isolation,and easy realization of soft switching.Therefore,it has gradually become one of the important topologies on the DC side of energy routers.In the new power grid,the increased integration of renewable energy sources presents challenges of complex operating conditions in power systems and frequent switching of various energy storage equipment.Therefore,energy routers must have good dynamic performance.The traditional PI control employed in DAB converter systems tends to prolong dynamic performance due to the limitation of the equivalent low-pass filtering characteristics of the controller,which has become a bottleneck for the dynamic improvement of the DAB converter.This paper proposes a whole process model predictive control strategy.Firstly,the prediction model of the DAB converter is established.For the start-up process of the DAB converter,the dynamic performance optimization problem,formulated as an equality constraint optimization problem,is solved by KKT conditions.For the transient process of the DAB converter,the optimal phase shift ratio is determined based on the mathematical analysis of the cost function.The above whole process model predictive control strategy can effectively improve the dynamic performance of the DAB converter system.However,when applying the MPC to the DAB converter system,the high requirements on model parameters and sampling accuracy need to be considered.Therefore,a current sensorless robust control strategy based on the Kalman filter al
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