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.
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references
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STABILITY MARGIN ANALYSIS AND OPTIMAL DESIGN METHOD OF CONTROL PARAMETERS FOR MULTI-SOURCE AND MULTI-LOAD DC MICROGRID
ACTIVE DISTURBANCE REJECTION VOLTAGE STABILIZING CONTROL FOR CONVERTER OF MICROGRID WITH MODEL COLLABORATIVE COMPENSATION
高效风能捕获的高空风电优化运行控制策略
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Related Institution
State Key Laboratory of Reliability and Intelligence of Electrical Equipment(School of Electrical Engineering, Hebei University of Technology)
Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province(School of Electrical Engineering, Hebei University of Technology)
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North China Electric Power Research Institute Limited Liability Company
School of Automation, Guangdong University of Technology