Data-driven relative position detection technology for high-speed maglev train

He, Yongxiang; Wu, Jun; Xie, Guanglei; Hong, Xiaobo; Zhang, Yunzhou

doi:10.1016/j.measurement.2021.109468

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…Secara teori kereta maglev dengan menghasilkan energy efisiensi lebih baik [10] dan menghasilkan kecepatan yang lebih tinggi dibandingkan dengan kereta konvensional (menggunakan rel dan roda) [11]. Pengembangan kereta maglev juga tidak mudah, karena perlu data yang akurat terhadap posisi kereta [12] dimana kereta ini punya potensi untuk memiliki kecepatan diatas 600 km/jam. Kecepatan yang tinggi pada kereta maglev akan memiliki permasalahan tersendiri terkait sistem dinamik kereta [13].…”

Section: Pendahuluanunclassified

Studi Ekperimental Pengaruh Variasi Jenis Baterai (Alkaline, Lithium Ion, dan Nickel Metal Hydride) Terhadap Kecepatan, Gaya, dan Daya pada Konsep Kereta Elektromagnet

Patriawan

Irawan

Hidayatullah

et al. 2021

JTM

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Gaya elektromagnet bisa dimanfaatkan sebagai kendaraan. Banyak penelitian yang menggunakan gaya elektromagnet sebagai penghasil levitasi pada kereta dan gaya dorong pada kereta. Penelitian ini coba memanfaatkan gaya elektromagnet untuk menggerakan baterai yang diberi magnet saat memasuki lintasan tembaga. Hasil pengukuran kecepatan didapatkan baterai dengan lithium ion 1.16 m/s, Ni-MH 0.77 m/s dan Alkaline 0.85 m/s. Namun hasil tersebut jika dibandingkan dengan performa per watt didapatkan baterai Ni-MH memiliki nilai perbandingan terbaik, sedangkan lithium ion memiliki performa per watt terendah.

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Section: Pendahuluanunclassified

Studi Ekperimental Pengaruh Variasi Jenis Baterai (Alkaline, Lithium Ion, dan Nickel Metal Hydride) Terhadap Kecepatan, Gaya, dan Daya pada Konsep Kereta Elektromagnet

Patriawan

Irawan

Hidayatullah

et al. 2021

JTM

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“…MagLev technology is used to eliminate mechanical contact in order to alleviate friction between stationary and active parts in the system, which can eventually reduce maintenance costs and increase efficiency. The technology has attracted a wide field of applications such as high-speed trains [1]- [3], mineral measurement methods [4], plastic shrinkage void detection [5], energy harvesting [6], [7], and disease diagnostics [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Development of magnetic levitation system with position and orientation control

Bakar

J-Shenn

Goh

et al. 2023

IJRES

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This work demonstrates the design and development of a magnetic levitation (MagLev) system that is able to control both the position and orientation of the levitated object. For the position control, a pole placement method was exploited to estimate parameters of the proportional integral derivative (PID) controller. In addition, the MagLev was constructed using a pair of electromagnets, two infrared (IR) receiver-emitter pairs and a servo motor to allow the orientation of the object to be controlled. The proposed controller was programmed in a LabVIEW environment, which was then compiled and deployed into an embedded NI myRIO board. Experimental results demonstrated that the proposed method was able to achieve a zero steady-state orientation error when the object was rotated from 0 ◦ to ±90◦ , a steady-state position error of 0.3 cm without rotation, and steady-state position errors of no greater than 1.2 cm with rotation.

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“…Based on disturbance observer, fault-tolerant control (FTC) has been studied for the dynamics of HSTs (Yao et al, 2022). Further results have been reported for the FTC of the dynamics of HSTs based on adaptive algorithms and neural networks (Guo and Ahn, 2021;He et al, 2021;Liu et al, 2019). These investigations are more realistic for the fault diagnosis of HSTs because they consider the complicated system nonlinearity caused by aerodynamic drag, the varieties of train speeds and distances and exogenous disturbances simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Optimized adaptive filtering for fault estimation of the dynamics of high-speed train based on robust extended Kalman filter

Liang

Wang

et al. 2023

Transactions of the Institute of Measurement and Control

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In this paper, an optimized adaptive robust extended Kalman filter is proposed based on random weighting factors and an improved whale optimization algorithm for fault estimation of the dynamics of high-speed trains with constant time delays, drastically changing noise and stochastic uncertainties. Robust upper bounds are proposed to improve the performance of the extended Kalman filter by decreasing the influence of the linearization error on filtering for the dynamics of high-speed trains with constant time delays, and its robustness is proven to guarantee the feasibility of the proposed upper bounds. Furthermore, considering drastically changing noise with unknown statistics, a random weighting adaptive algorithm is proposed to implement unbiased noise estimation so that the robust extended Kalman filter can still be implemented well. In addition, a differential evolution algorithm and adaptive parameter are introduced to improve the performance of the whale optimization algorithm so that the stochastic uncertainties are optimized, and the influence of the stochastic uncertainties on filtering is further decreased. The simulation results in the three conditions show that, compared with the variational Bayes adaptive iterated extended Kalman filter, using the proposed method, the position, speed and fault estimation errors are decreased by 31.8%, 33.2% and 28.3%, respectively, on average, which depends on more accurate noise estimation.

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Data-driven relative position detection technology for high-speed maglev train

Cited by 13 publications

References 14 publications

Studi Ekperimental Pengaruh Variasi Jenis Baterai (Alkaline, Lithium Ion, dan Nickel Metal Hydride) Terhadap Kecepatan, Gaya, dan Daya pada Konsep Kereta Elektromagnet

Studi Ekperimental Pengaruh Variasi Jenis Baterai (Alkaline, Lithium Ion, dan Nickel Metal Hydride) Terhadap Kecepatan, Gaya, dan Daya pada Konsep Kereta Elektromagnet

Development of magnetic levitation system with position and orientation control

Optimized adaptive filtering for fault estimation of the dynamics of high-speed train based on robust extended Kalman filter

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