Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems

This review of the state of the art aims to collect the description and main research results in the field of development and validation of control algorithms with the main purpose to solve the problem of cogging torque and main sources of electromagnetic torque ripple. In particular, we focus on el...

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Main Authors: Pierpaolo Dini, Sergio Saponara
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/23/8990
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author Pierpaolo Dini
Sergio Saponara
author_facet Pierpaolo Dini
Sergio Saponara
author_sort Pierpaolo Dini
collection DOAJ
description This review of the state of the art aims to collect the description and main research results in the field of development and validation of control algorithms with the main purpose to solve the problem of cogging torque and main sources of electromagnetic torque ripple. In particular, we focus on electric drives for advanced and modern mechatronic applications such as industrial automation, robotics, and automotive applications, with special emphasis on work that exploits model-based design. A great added value of this paper is to explicitly show the operational steps required for the model-based design design of optimized control algorithms for electric drives where it is necessary to make up for electromagnetic torque oscillations due to the main sources of ripple, particularly cogging torque. The ultimate goal of this paper is to provide researchers approaching this particular problem with a comprehensive collection of the most effective solutions reported in the state of the art and also a summary for effectively applying the model-based design methodology.
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spelling doaj.art-cf1bae15b8184b60a8a50091a65447a12023-11-24T10:53:31ZengMDPI AGEnergies1996-10732022-11-011523899010.3390/en15238990Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive SystemsPierpaolo Dini0Sergio Saponara1Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, ItalyDepartment of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, ItalyThis review of the state of the art aims to collect the description and main research results in the field of development and validation of control algorithms with the main purpose to solve the problem of cogging torque and main sources of electromagnetic torque ripple. In particular, we focus on electric drives for advanced and modern mechatronic applications such as industrial automation, robotics, and automotive applications, with special emphasis on work that exploits model-based design. A great added value of this paper is to explicitly show the operational steps required for the model-based design design of optimized control algorithms for electric drives where it is necessary to make up for electromagnetic torque oscillations due to the main sources of ripple, particularly cogging torque. The ultimate goal of this paper is to provide researchers approaching this particular problem with a comprehensive collection of the most effective solutions reported in the state of the art and also a summary for effectively applying the model-based design methodology.https://www.mdpi.com/1996-1073/15/23/8990model-based designsimulationmechatronicsdynamic systemsmodelingcontrol theory
spellingShingle Pierpaolo Dini
Sergio Saponara
Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems
Energies
model-based design
simulation
mechatronics
dynamic systems
modeling
control theory
title Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems
title_full Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems
title_fullStr Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems
title_full_unstemmed Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems
title_short Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems
title_sort review on model based design of advanced control algorithms for cogging torque reduction in power drive systems
topic model-based design
simulation
mechatronics
dynamic systems
modeling
control theory
url https://www.mdpi.com/1996-1073/15/23/8990
work_keys_str_mv AT pierpaolodini reviewonmodelbaseddesignofadvancedcontrolalgorithmsforcoggingtorquereductioninpowerdrivesystems
AT sergiosaponara reviewonmodelbaseddesignofadvancedcontrolalgorithmsforcoggingtorquereductioninpowerdrivesystems