Zobrazeno 1 - 10
of 552
pro vyhledávání: '"Jae Wook Jeon"'
Publikováno v:
IEEE Access, Vol 12, Pp 71853-71865 (2024)
While computer vision and computing technology advances have facilitated advanced driver assistance applications, systems with multi-task design remain highly demanding to operate at high speed on resource-constrained devices. Our study addresses thi
Externí odkaz:
https://doaj.org/article/977de71d7a0b4ecbbdd083d1ccd6f8d8
Publikováno v:
IEEE Access, Vol 11, Pp 134199-134210 (2023)
Permanent Magnet Synchronous Motors (PMSMs) are employed in various high-precision industrial applications. However, the torque ripple caused by nonideal factors, such as cogging torque, flux harmonics, and unbalanced stator phase currents diminishes
Externí odkaz:
https://doaj.org/article/7a918d44ef0c45009b07e6a101363487
Autor:
Hoang Ngoc Tran, Jae Wook Jeon
Publikováno v:
IEEE Access, Vol 11, Pp 63261-63270 (2023)
A robust mechanical parameter estimation together with adaptive speed control algorithms for permanent magnet synchronous motor (PMSM) drive systems based on the dual adaptive sliding-mode method is proposed in this paper. First, a robust adaptive sl
Externí odkaz:
https://doaj.org/article/8ba7c1c051604ddfbe75abe433be60f0
Publikováno v:
IEEE Access, Vol 11, Pp 19173-19185 (2023)
To provide reliable position control for a permanent-magnet synchronous motor (PMSM) under conditions of lumped disturbances such as external load torque fluctuation and system parameter variation, an adaptive backstepping sliding-mode control (ABSMC
Externí odkaz:
https://doaj.org/article/34c054486aa04be09362b077c94d886a
Autor:
Duong Nguyen-Ngoc Tran, Long Hoang Pham, Huy-Hung Nguyen, Tai Huu-Phuong Tran, Hyung-Joon Jeon, Jae Wook Jeon
Publikováno v:
IEEE Access, Vol 10, Pp 59400-59412 (2022)
Advanced Driver Assistance Systems (ADAS) are a collection of intelligent solutions integrated into next-generation vehicles to assist in safe driving. When building ADAS systems, the main goals are that they are stable, flexible, easy to maintain, a
Externí odkaz:
https://doaj.org/article/a0107b94d58540ec90f89f145fb63fb8
Autor:
Hoang Ngoc Tran, Ty Trung Nguyen, Hung Quang Cao, Ton Hoang Nguyen, Ha Xuan Nguyen, Jae Wook Jeon
Publikováno v:
IEEE Access, Vol 10, Pp 18820-18831 (2022)
This paper proposes a new online auto-tuning method to improve the accuracy and reduce the tuning time of permanent magnet synchronous motor (PMSM) drives. Under varying loads, the ability to tune the controllers of PMSM drives using optimal tuning t
Externí odkaz:
https://doaj.org/article/e09a6bb18d974d10b16b1945fc33d431
Publikováno v:
IEEE Access, Vol 10, Pp 29252-29266 (2022)
This study describes a hands-on in-vehicle network (IVN) training course for automotive engineers, particularly for learners with different prior knowledge. We collected essential content to educate those with different backgrounds on IVN-related inf
Externí odkaz:
https://doaj.org/article/c5b34fa9912341b0ae7754a534e8f8b1
Publikováno v:
IEEE Access, Vol 9, Pp 19127-19138 (2021)
This paper proposes a linear compensator algorithm to improve the performance of an absolute multipolar magnetic encoder (AMPME). An AMPME is an absolute magnetic rotary encoder that uses a multipolar magnet (MPM) to increase the resolution. The reso
Externí odkaz:
https://doaj.org/article/3c73bf4ddbf147b3a6848c94118cb721
Publikováno v:
IEEE Access, Vol 9, Pp 55742-55753 (2021)
As multiple functions have been added to single-core-based engine electronic control units (ECUs) in vehicles, automotive researchers and manufacturers have actively studied multi-core architecture for engine ECUs. Multi-core architecture can provide
Externí odkaz:
https://doaj.org/article/7c2fde257c1e4ed9ac93ff92aefc30a6
Autor:
Ha Xuan Nguyen, Hung Quang Cao, Ty Trung Nguyen, Thuong Ngoc-Cong Tran, Hoang Ngoc Tran, Jae Wook Jeon
Publikováno v:
IEEE Access, Vol 9, Pp 75415-75425 (2021)
This paper proposes a robot calibration method that uses an extended Kalman filter (EKF) and a neural network based on Levenberg–Marquardt combined accelerated particle swarm optimization (LMAPSO) to improve the accuracy of the robot’s absolute p
Externí odkaz:
https://doaj.org/article/e3aa288310a34289815105105f5c2372