Designs, Analysis and Control for Electrical Machines

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5905

Special Issue Editors


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Guest Editor
Department of Mechanics, Politecnico di Milano via La Masa 1, 20156 Milan, Italy
Interests: design and simulation of electrical machines; control of electrical drives and systems; multi-level power converter

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Guest Editor
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy
Interests: design, modelling, simulation, and diagnostics of rotating electrical machines (induction motors, permanent magnet synchronous motors, synchronous reluctance motors), as well as transformers, especially from the electromagnetic point of view
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Special Issue Information

Dear Colleagues,

Nowadays, electric machines and drives are widely applied in many fields. Recent improvement in the field of power electronics and better computing facilities have brought the development of new topologies of electric machines and converter configuration to drive them. New and original control strategies such as non-linear control algorithms, have emerged, allowing remarkable performances and high efficiency. The development of emerging applications in the fields of tractions, electric vehicles, renewable energies and household appliances has produced innovative topologies and solutions.

This Special Issue invites articles that focuses on recent advancements in the electric machine field, including new control strategies, innovative machine topologies, novel design methodologies, new approaches to emerging application areas, such as robotics, electric ships, aircraft, electric vehicles and wind power generation.

Specific topics include, but are not limited to:

  • Control strategies for different types of electrical motors;
  • Sensorless and advanced control scheme of electrical drives. Estimation of the non-measurable states and parameters;
  • Multiphase drive and converters;
  • Application of advanced control methodologies for high performance control of electrical drives;
  • Control of complex mechatronic systems taking into account the mechanical part of the system;
  • Multi-port machines as double stator and/or double rotor type;
  • Fault diagnosis in electrical machines and fault-tolerant electrical machines.

Dr. Maria Stefania Carmeli
Dr. Lucia Frosini
Guest Editors

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Keywords

  • electrical machines
  • electrical drives
  • power converter
  • sensorless and advanced control scheme
  • design of electrical machines
  • multiphase drives and converters
  • railway traction drives
  • drives for electric vehicles
  • diagnosis and fault detection in electrical machines

Published Papers (2 papers)

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Research

17 pages, 7372 KiB  
Article
Design of a Rotary Transformer for Installations on Large Shafts
by Nicola Toscani, Massimo Brunetti, Maria Stefania Carmeli, Francesco Castelli Dezza and Marco Mauri
Appl. Sci. 2022, 12(6), 2932; https://0-doi-org.brum.beds.ac.uk/10.3390/app12062932 - 13 Mar 2022
Cited by 2 | Viewed by 3668
Abstract
Rotary transformers are adopted to transfer energy from primary to secondary in situations in which the two sides are in relative rotation. These devices are cylindrical transformers with two cores and the corresponding winding separated by an air gap. Their employment became quite [...] Read more.
Rotary transformers are adopted to transfer energy from primary to secondary in situations in which the two sides are in relative rotation. These devices are cylindrical transformers with two cores and the corresponding winding separated by an air gap. Their employment became quite convenient with the availability of power electronics, allowing the operation of electrical systems at relatively high frequencies. In particular, this paper proposes the design of a light and efficient transformer which can be used in applications involving large shafts. Moreover, a sliced arrangement for the magnetic core is proposed together with the experimental validation of this solution on a reduced-size prototype. Full article
(This article belongs to the Special Issue Designs, Analysis and Control for Electrical Machines)
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18 pages, 4305 KiB  
Article
Neuroadaptive Robust Speed Control for PMSM Servo Drives with Rotor Failure
by Omar Aguilar-Mejía, Hertwin Minor-Popocatl, Prudencio Fidel Pacheco-García and Ruben Tapia-Olvera
Appl. Sci. 2021, 11(23), 11090; https://0-doi-org.brum.beds.ac.uk/10.3390/app112311090 - 23 Nov 2021
Cited by 4 | Viewed by 1413
Abstract
In this paper, a neuroadaptive robust trajectory tracking controller is utilized to reduce speed ripples of permanent magnet synchronous machine (PMSM) servo drive under the presence of a fracture or fissure in the rotor and external disturbances. The dynamics equations of PMSM servo [...] Read more.
In this paper, a neuroadaptive robust trajectory tracking controller is utilized to reduce speed ripples of permanent magnet synchronous machine (PMSM) servo drive under the presence of a fracture or fissure in the rotor and external disturbances. The dynamics equations of PMSM servo drive with the presence of a fracture and unknown frictions are described in detail. Due to inherent nonlinearities in PMSM dynamic model, in addition to internal and external disturbances; a traditional PI controller with fixed parameters cannot correctly regulate the PMSM performance under these scenarios. Hence, a neuroadaptive robust controller (NRC) based on a category of on-line trained artificial neural network is used for this purpose to enhance the robustness and adaptive abilities of traditional PI controller. In this paper, the moth-flame optimization algorithm provides the optimal weight parameters of NRC and three PI controllers (off-line) for a PMSM servo drive. The performance of the NRC is evaluated in the presence of a fracture, unknown frictions, and load disturbances, likewise the result outcomes are contrasted with a traditional optimized PID controller and an optimal linear state feedback method. Full article
(This article belongs to the Special Issue Designs, Analysis and Control for Electrical Machines)
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