级联式双向DC-DC变换器的优化控制方法

发布时间：2019-06-10 06:28

【摘要】：级联式双向DC-DC变换器的传统双闭环比例-积分(PI)控制方法存在调节器参数多、整定工作量大等不足,而且受限于PI控制的内在局限性,系统的动态性能不够理想。针对级联式双向DC-DC变换器的实际控制需求,综合考虑传统双闭环PI控制和模型预测控制的各自优势,将二者有机结合,构建了一套折中优化的控制方法,即在第一级双向DC-DC变换器中采用传统双闭环PI控制,而在第二级双向DC-DC变换器中设计并实现改进的模型预测控制策略。将提出的优化控制方法与传统双闭环控制和经典模型预测控制分别进行了仿真和实验比较。结果表明,相对于传统的双闭环控制,采用提出的优化控制方法可以显著改善级联式双向DC-DC变换器的动态性能,而相对于经典的模型预测控制,该优化控制方法运算量减少了45.22%。
[Abstract]:The traditional double closed loop proportional integral (PI) control method of cascade bidirectional DC-DC converter has many shortcomings, such as many regulator parameters, large setting workload and so on, and is limited by the inherent limitations of PI control, and the dynamic performance of the system is not ideal. According to the actual control requirements of cascade bidirectional DC-DC converter, considering the advantages of traditional double closed loop PI control and model predictive control, a set of compromise optimization control methods is constructed by combining the two organically. That is, the traditional double closed loop PI control is used in the first stage bidirectional DC-DC converter, and the improved model predictive control strategy is designed and implemented in the second stage bidirectional DC-DC converter. The proposed optimal control method is compared with the traditional double closed loop control and the classical model predictive control respectively. The results show that compared with the traditional double closed loop control, the proposed optimal control method can significantly improve the dynamic performance of cascade bidirectional DC-DC converters, while compared with the classical model predictive control, The computational complexity of the optimal control method is reduced by 45.22%.
【作者单位】：北方工业大学变频技术北京市工程技术研究中心;电力系统及发电设备控制和仿真国家重点实验室(清华大学);
【基金】：国家自然科学基金(51477003) 北京市自然科学基金(4152013) 北京市科技新星计划(Z161100004916049) 北方工业大学“长城学者后备人才培养计划”(XN070007)资助项目
【分类号】：TM46

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