Hao Huang , Keqin Li , Chunfeng Yu , Zhonghua Sun , Yuanfeng Zhang , Zhibin Zhao , Bin Luo
{"title":"基于全局快速终端滑模观测器的电动汽车轮毂永磁电机无传感器控制。","authors":"Hao Huang , Keqin Li , Chunfeng Yu , Zhonghua Sun , Yuanfeng Zhang , Zhibin Zhao , Bin Luo","doi":"10.1016/j.isatra.2025.02.022","DOIUrl":null,"url":null,"abstract":"<div><div>This article aims to provide a high-precision sensorless controller for permanent magnet in-wheel motors (PMIWMs) used in electric vehicles (EVs) when an unexpected failure of the position sensor occurs. To address this, we propose a position sensorless control method that combines a global fast terminal sliding mode observer (GFTSMO) with a phase-locked loop (PLL) estimation scheme. First, the GFTSMO is introduced to reduce the significant chattering that typically occurs in traditional sliding mode observers (SMO). This control scheme can help the state variable converge to an equilibrium state from any initial condition and minimize chattering. Second, we implement a PLL estimation scheme to replace the conventional arc-tangent estimation method. This method avoids the triggering of high-frequency oscillations, thereby improving the estimation precision and robustness of the control system. In addition, we discuss the stability of the proposed GFTSMO using the Lyapunov function. Simulation and tests on a motor platform demonstrate that the proposed position sensorless algorithm can track speed rapidly and accurately without overshooting. The proposed sensorless control can ensure the control stability of PMIWMs and can be applied in other occasions where installing motor sensors is challenging.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"160 ","pages":"Pages 186-195"},"PeriodicalIF":6.5000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensorless Control of Permanent magnet in-wheel motor for EVs Using Global Fast Terminal Sliding Mode Observer\",\"authors\":\"Hao Huang , Keqin Li , Chunfeng Yu , Zhonghua Sun , Yuanfeng Zhang , Zhibin Zhao , Bin Luo\",\"doi\":\"10.1016/j.isatra.2025.02.022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This article aims to provide a high-precision sensorless controller for permanent magnet in-wheel motors (PMIWMs) used in electric vehicles (EVs) when an unexpected failure of the position sensor occurs. To address this, we propose a position sensorless control method that combines a global fast terminal sliding mode observer (GFTSMO) with a phase-locked loop (PLL) estimation scheme. First, the GFTSMO is introduced to reduce the significant chattering that typically occurs in traditional sliding mode observers (SMO). This control scheme can help the state variable converge to an equilibrium state from any initial condition and minimize chattering. Second, we implement a PLL estimation scheme to replace the conventional arc-tangent estimation method. This method avoids the triggering of high-frequency oscillations, thereby improving the estimation precision and robustness of the control system. In addition, we discuss the stability of the proposed GFTSMO using the Lyapunov function. Simulation and tests on a motor platform demonstrate that the proposed position sensorless algorithm can track speed rapidly and accurately without overshooting. The proposed sensorless control can ensure the control stability of PMIWMs and can be applied in other occasions where installing motor sensors is challenging.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"160 \",\"pages\":\"Pages 186-195\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISA transactions\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019057825001120\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825001120","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Sensorless Control of Permanent magnet in-wheel motor for EVs Using Global Fast Terminal Sliding Mode Observer
This article aims to provide a high-precision sensorless controller for permanent magnet in-wheel motors (PMIWMs) used in electric vehicles (EVs) when an unexpected failure of the position sensor occurs. To address this, we propose a position sensorless control method that combines a global fast terminal sliding mode observer (GFTSMO) with a phase-locked loop (PLL) estimation scheme. First, the GFTSMO is introduced to reduce the significant chattering that typically occurs in traditional sliding mode observers (SMO). This control scheme can help the state variable converge to an equilibrium state from any initial condition and minimize chattering. Second, we implement a PLL estimation scheme to replace the conventional arc-tangent estimation method. This method avoids the triggering of high-frequency oscillations, thereby improving the estimation precision and robustness of the control system. In addition, we discuss the stability of the proposed GFTSMO using the Lyapunov function. Simulation and tests on a motor platform demonstrate that the proposed position sensorless algorithm can track speed rapidly and accurately without overshooting. The proposed sensorless control can ensure the control stability of PMIWMs and can be applied in other occasions where installing motor sensors is challenging.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.