摘要
针对光伏发电实际应用中单电感双输出(SIDO)Buck变换器存在固有交叉耦合影响的问题,文章在传统变换器的基础上,提出一种新型模型预测控制(MPC)算法。首先建立SIDO Buck变换器的状态空间平均模型,推导出目标模型的输出预测;其次优化控制算法,获得跟踪参考的最优控制输入。相较于经典PI控制,所提MPC算法不但具有优越的电压跟踪性能,还有效地减少了多路输出之间的交叉耦合影响,极大地提高了变换器的性能。最后,通过MATLAB软件进行仿真,验证了基于SIDO Buck变换器的MPC算法的正确性和可信性。
Aiming at the problem of inherent cross coupling in single inductor dual output(SIDO)buck converter in the practical application of photovoltaic power generation,a new model predictive control algorithm(MPC)is proposed based on the traditional converter.In short,the design of model predictive control mainly includes two aspects.Firstly,the state space average model of SIDO buck converter is established,and the output prediction of the target model is derived;Then,the optimal control input of tracking reference is obtained by optimizing the control algorithm.Compared with the classical PI control,the proposed MPC not only has superior voltage tracking performance,but also effectively reduces the influence of cross coupling between multiple outputs and greatly improves the performance of the converter.Finally,the correctness and credibility of an MPC scheme based on SIDO buck converter are verified by simulation with MATLAB software.
作者
贺素霞
张具琴
He Suxia;Zhang Juqin(Faculty of Engineering,Huanghe Science and Technology University,Zhengzhou 450063,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2022年第4期558-563,共6页
Renewable Energy Resources
基金
河南省高等学校重点科研项目(15A480008)。
