{"title":"Proposal of a Novel High-Accuracy and Robust Tubular Resolver With Simplified Structure","authors":"Peyman Naderi;Arman Ramezannezhad","doi":"10.1109/TIE.2024.3481988","DOIUrl":null,"url":null,"abstract":"This article introduces a novel tubular resolver designed to serve as an absolute linear position sensor. The resolver boasts a straightforward structure, employing a field coil positioned on a short-length mover for excitation, while signal coils are wound on the stator. Due to the limitations of 2-D finite element method (FEM) in modeling eccentric resolvers, a 3-D FEM approach is recommended for its modeling, despite the higher simulation time and computational intensity it entails compared to 2-D FEM. Thus, the proposed resolver is modeled using a 3-D modified winding function approach (MWFA), integrating numerical integration techniques to account for slot openings and end-effects in the model. Evaluation of the resolver's performance encompasses healthy and faulty scenarios, with a focus on accuracy assessment, particularly under static and dynamic eccentricities fault. The resolver demonstrates notable accuracy and robustness against mechanical faults, positioning it as an ideal linear position sensor for specialized industries such as vehicular, robotic, and mechatronics applications. The article highlights two key contributions: the proposed resolver design and the utilization of 3-D-MWFA, both introduced for the first time. Validation through experimental results confirms the effectiveness of the proposed resolver, reinforcing the credibility of the simulation outcomes.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 6","pages":"6530-6538"},"PeriodicalIF":7.2000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10753421/","RegionNum":1,"RegionCategory":"工程技术","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
This article introduces a novel tubular resolver designed to serve as an absolute linear position sensor. The resolver boasts a straightforward structure, employing a field coil positioned on a short-length mover for excitation, while signal coils are wound on the stator. Due to the limitations of 2-D finite element method (FEM) in modeling eccentric resolvers, a 3-D FEM approach is recommended for its modeling, despite the higher simulation time and computational intensity it entails compared to 2-D FEM. Thus, the proposed resolver is modeled using a 3-D modified winding function approach (MWFA), integrating numerical integration techniques to account for slot openings and end-effects in the model. Evaluation of the resolver's performance encompasses healthy and faulty scenarios, with a focus on accuracy assessment, particularly under static and dynamic eccentricities fault. The resolver demonstrates notable accuracy and robustness against mechanical faults, positioning it as an ideal linear position sensor for specialized industries such as vehicular, robotic, and mechatronics applications. The article highlights two key contributions: the proposed resolver design and the utilization of 3-D-MWFA, both introduced for the first time. Validation through experimental results confirms the effectiveness of the proposed resolver, reinforcing the credibility of the simulation outcomes.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.