基于变速滑模观测器和超局部模型的IPMSM无模型预测电流控制OA

A model-free deadbeat predictive current control(DPCC)strategy combining an ultra-local model with a variable-speed sliding mode observer(VSSMO)is proposed to address current fluctuations caused by parameter mismatches during the operation of interior permanent magnet synchronous motors(IPMSMs).First,based on the mathematical model of the IPMSM,the limitations of conventional DPCC under parameter mismatches are analyzed.Second,a VSSMO based on variable-speed double power reaching law(VSDPRL)is proposed to address the poor current tracking accuracy of conventional sliding-mode observers caused by chattering.Furthermore,to enhance the robustness of DPCC,parameter deviations and unmodeled dynamics are collectively treated as lumped disturbances,and a first-order ultra-local model is established.A variable-speed sliding mode observer based on the VSDPRL is then developed.Finally,experimental comparisons with conventional DPCC and sliding mode observer-enhanced DPCC(SMO-DPCC)verify that the proposed VSSMO-DPCC method effectively improves steady-state performance of the motor under parameter disturbances and significantly enhances control robustness of the IPMSM system in the presence of parameter mismatch.