Adaptive Predictive Stator Current Control of a Six-phase Drive

2022 EUROPEAN CONTROL CONFERENCE (ECC)(2022)

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摘要
Predictive Stator Current Control (PSCC) is a flexible technique that has been the subject of research in connection with multi-phase drives. The flexibility that the Cost Function (CF) provides allows to consider different criteria usually found in variable speed drives. However, the tuning of the cost function is cumbersome. Intensive trial and error methods are usual in this context. In this paper an adaptive procedure is proposed based on the concept of Model Reference Adaptive Control (MRAC). The method provides on-line tuning of the CF parameters of PSCC: the Weighting Factors (WF). The proposal is motivated by the idea of using optimal WF for each operating point. A case study is developed for a six-phase Induction Machine (IM). The adaptive method is modified to include additional terms (cross-terms and momentum) to cope with the particular behavior observed in the gradient of the figures of merit with respect to the WF. The proposal is assessed with simulations and real experimentation on a laboratory setup.
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关键词
weighting factors,adaptive predictive stator current control,six-phase induction machine,CF parameters,on-line tuning,model reference adaptive control,trial and error methods,variable speed drives,multiphase drives,PSCC,six-phase drive
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