在直流微电网中,针对双有源桥式DC-DC变换器（DAB）应用模型预测控制算法时参数失配会导致母线电压偏离的问题,提出一种基于模糊电流观测的无模型预测控制策略。首先利用正弦函数的周期性设计具有多稳定点的滑模观测器对输出电流进行模糊观测,可有效提高观测器的响应速度。然后,将滑模观测器的观测值替代变换器预测模型中的电流值,通过参数敏感性分析发现所提方法可消除预测控制模型参数不匹配导致的稳态误差。最后,搭建系统仿真模型和样机平台验证了所提方法的有效性。
Abstract
A model-free predictive control strategy based on fuzzy current observation is proposed to address the problem that parameter mismatch can lead to bus voltage deviation when applying model predictive control algorithms to a dual active bridge DC-DC converter （DAB） in a DC microgrid. Firstly, the periodicity of sinusoidal function is used to design a sliding mode observer with multiple stable points for fuzzy observation of output current, which effectively improves the response speed of the observer. Then, the observed value of the sliding mode observer is substituted for the current value in the predictive model of the converter, and it is found through parameter sensitivity analysis that the proposed method can eliminate the steady state error caused by the parameter mismatch of the predictive control model. Finally, a system simulation model and a prototype platform are built to verify the effectiveness of the proposed method.
关键词
微电网 /
DC-DC变换器 /
模型预测控制 /
电流观测器
Key words
microgrids /
DC-DC converters /
model predictive control /
current observer
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基金
国家电网公司总部科技项目（5100-202322029A-1-1-ZN）
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