{"title":"Variable sampling period multi-phase predictive controller based on regions","authors":"","doi":"10.1016/j.conengprac.2024.106021","DOIUrl":null,"url":null,"abstract":"<div><p>Multi-phase machines are being proposed in research and industry applications due to their inherent advantages. Finite Control Set Model Predictive Controllers (FCS MPC) constitute a flexible tool to deal with the increased number of phases. However, FCS MPC is computationally demanding, reducing its applicability with fast power converters. Region-based methods for FCS MPC have been recently proposed to reduce the control computation time. However, these methods are still hindered by the use of a fixed application time for the selected voltage. The paper presents a region-based method that uses variable application times. The method achieves fast computation of the voltage vector and its application time. Moreover, the application time can be found with fine resolution unlike previous approaches and without iterations. The proposal is experimentally validated using a laboratory test bench based on a symmetric five-phase induction machine showing improved control results and a reduction in harmonic content.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066124001801","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-phase machines are being proposed in research and industry applications due to their inherent advantages. Finite Control Set Model Predictive Controllers (FCS MPC) constitute a flexible tool to deal with the increased number of phases. However, FCS MPC is computationally demanding, reducing its applicability with fast power converters. Region-based methods for FCS MPC have been recently proposed to reduce the control computation time. However, these methods are still hindered by the use of a fixed application time for the selected voltage. The paper presents a region-based method that uses variable application times. The method achieves fast computation of the voltage vector and its application time. Moreover, the application time can be found with fine resolution unlike previous approaches and without iterations. The proposal is experimentally validated using a laboratory test bench based on a symmetric five-phase induction machine showing improved control results and a reduction in harmonic content.
期刊介绍:
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.