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

Pierpaolo Dini () and Sergio Saponara
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Pierpaolo Dini: Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy
Sergio Saponara: Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy

Energies, 2022, vol. 15, issue 23, 1-29

Abstract: 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.

Keywords: model-based design; simulation; mechatronics; dynamic systems; modeling; control theory; brushless motors; electric drives (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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