Control System Design for Cogging Torque Reduction Based on Sensor-Less Architecture

Dini, Pierpaolo; Saponara, Sergio

doi:10.1007/978-3-030-37277-4_36

Cited by 10 publications

(10 citation statements)

References 10 publications

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“…Reference is made to the dynamics of the three‐phase synchronous machine described through Park's equivalent DC model [61–68]. This modeling derives from the Unified Theory of Electrical Machines which defines the coordinate transformations to describe the dynamics in an equivalent way, going from three‐phase AC (

abc

‐frame) to DC‐equivalent (

dq

‐frame).…”

Section: Real‐time Electro‐thermal Model Designmentioning

confidence: 99%

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Dini,

Basso,

Saponara

et al. 2024

IET Power Electronics

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The article describes an innovative methodology for the design and experimental validation of monitoring and anomaly detection algorithms, with a particular focus on the aging phenomenon, linked to the anomalous modification of the , in devices switching in power electronic systems integrated into modern high‐performance electrified vehicles. The case study concerns an electric drive for fully electrified vehicles, in which a three‐phase axial flux synchronous motor integrated into a wheel motor (Elaphe) is used and in which a high‐efficiency three‐phase inverter, designed with SiC technology (silicon carbide). The article proposes the design and validation of the innovative aging monitoring and detection system, in four consecutive phases. The first phase involves the creation of a real‐time model of electric drive, validated through experimental data extrapolated directly during a WLTP (Worldwide Harmonized Light Vehicle Test Procedure) test. The second phase consists of the creation of a virtual dataset representative of the aging phenomenon, via an anomaly injection procedure, emulating this phenomenon with a scaling factor (depending on the value of the ) on the current phase of the motor, relating to the inverter branch whose SiC device is affected. The third phase concerns the design of an estimator of the , based on an ANN (Artificial Neural Network) regression model, and involves a data manipulation phase with features extraction and reduction techniques. The fourth and final phase, involves the experimental validation of the method, through PIL (Processor‐In‐the‐Loop) tests, integrating the monitoring algorithm (consisting of a real‐time model and AI‐based regression model) on the NXPs32k144 embedded platform (based on Cortex‐M4), making the algorithm interact with the electric drive model on which anomaly injection is applied.

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abc

‐frame) to DC‐equivalent (

dq

‐frame).…”

Section: Real‐time Electro‐thermal Model Designmentioning

confidence: 99%

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Dini,

Basso,

Saponara

et al. 2024

IET Power Electronics

Self Cite

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“…Through the MBD approach, designers can comprehensively verify both the design of systems and devices, and their interaction, enabling the complete verification of control and monitoring algorithms by integrating these logic directly on the target processors and making them interact with the rest of the system (or the virtual version of the process). This reduces the design time of both hardware and software, as well as the validation time, and can reduce the stress on the components that do not need to be brought to operational limits for tests that can be performed using a mathematical model [1][2][3][4][5][6][7][8].…”

Section: Motivationsmentioning

confidence: 99%

Real‐time electro‐thermal modelling and predictive control design of resonant power converter in full electric vehicle applications

Dini,

Ariaudo,

Botto

et al. 2023

IET Power Electronics

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In this paper, a resonant converter model is proposed that takes into account the thermal and electrical dynamics of the main components. With respect to state‐of‐art, where model‐based design approaches are often implemented off‐line, the proposed model has a low computational complexity such that it can be simulated in real‐time. This real‐time electro‐thermal model enables also the design of a predictive control algorithm, that is proposed to optimize the current control of a SiC‐based resonant converter by handling both thermal and electrical operating limits of its components. To validate the interaction between the converter model and the predictive control algorithm, validation is proposed via real‐time processor‐in‐the‐loop, with application to the on‐board charger for high‐voltage Li‐ion battery pack, typical of modern fully electrified vehicles.

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“…For electro-mechanical systems of industrial interest, such as in robotics and industrial automation, dynamic system models are also found to have suitable formal properties for the application of this control methodology, which is why it is one of the most widely used control techniques by designers of algorithms and control systems [37][38][39][40][41][42].…”

Section: Feedback Linearization Controlmentioning

confidence: 99%

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

Dini

Saponara

2022

Energies

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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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Control System Design for Cogging Torque Reduction Based on Sensor-Less Architecture

Cited by 10 publications

References 10 publications

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Real‐time electro‐thermal modelling and predictive control design of resonant power converter in full electric vehicle applications

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

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