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Ranzhen Ren, Lichuan Zhang, Lu Liu, Dongwei Wu, Guang Pan, Qiaogao Huang, Yuchen Zhu, Yazhe Liu and Zixiao Zhu
To reduce the cooperative positioning error and improve the navigation accuracy, a single master?slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference...
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Asra Nusrat, Yaan Li, Chunyan Cheng, Hafeezullah Qazi and Lingji Xu
This paper considers the problem of tracking a uniform moving source using noisy bearing measurements obtained from a distant observer. Observer trajectory optimization plays a central role in this problem, with the objective to minimize the estimation e...
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Xian Wang, Zhengxiang Song, Kun Yang, Xuyang Yin, Yingsan Geng and Jianhua Wang
Lithium-bismuth liquid metal batteries have much potential for stationary energy storage applications, with characteristics such as a large capacity, high energy density, low cost, long life-span and an ability for high current charge and discharge. Howe...
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Md Ruhul Amin, Md Mahbubur Rahman, Mohammad Amazad Hossain, Md Khairul Islam, Kazi Mowdud Ahmed, Bikash Chandra Singh and Md Sipon Miah
In this paper, we proposed the unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) scheme in a cognitive radio network (CRN) using an adaptive fuzzy system?in this proposed scheme, firstly, the UKF to apply the nonlinear system whic...
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Bingyu Xu, Shuquan Wang, Liping Zhao and Long Zhang
Obtaining the inertia tensors of defunct space objects is essential in on-orbit missions. When the inertia tensor of the space object is non-diagonal, the problem becomes challenging. In this case, the system does not have enough information to estimate ...
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Yanbo Wang, Fasheng Wang, Jianjun He and Fuming Sun
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems. Incorporating constraints could improve the state estimation ...
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Mengnan Cao, Yingning Qiu, Yanhui Feng, Hao Wang and Dan Li
Effective wind turbine fault diagnostic algorithms are crucial for wind turbine intelligent condition monitoring. An unscented Kalman filter approach is proposed to successfully detect and isolate two types of gearbox failures of a wind turbine in this p...
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Zhenxin Zhang, Meng Zhang, Guoxi Li, Shilong Qin and Chunxiao Xu
The actuator, which generally consists of motors, electrical regulations, and propellers, is the key component of the quadrotor Unmanned Aerial Vehicle. During the operation of the UAV, actuators are prone to degrade performance and even cause serious fa...
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Juan F. Guerra, Ramon Garcia-Hernandez, Miguel A. Llama and Victor Santibañez
This work presents a comprehensive comparative analysis of four prominent swarm intelligence (SI) optimization algorithms: Ant Lion Optimizer (ALO), Bat Algorithm (BA), Grey Wolf Optimizer (GWO), and Moth Flame Optimization (MFO). When compared under the...
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Pu Huang, Hengnian Li, Guangwei Wen and Zhaokui Wang
An adaptive weighted strong tracking unscented Kalman filter is proposed in this paper for long-range relative navigation alongside non-cooperative maneuvering targets. First, an equation for obtaining the relative motion of two bodies is derived, it can...
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Pengcheng Mu, Xin Zhang, Ping Qin and Bo He
Simultaneous Localization and Mapping (SLAM) is a well-known solution for mapping and realizing autonomous navigation of an Autonomous Underwater Vehicle (AUV) in unknown underwater environments. However, the inaccurate time-varying observation noise wil...
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Junghyun Kim and Kyuman Lee
Obtaining reliable wind information is critical for efficiently managing air traffic and airport operations. Wind forecasting has been considered one of the most challenging tasks in the aviation industry. Recently, with the advent of artificial intellig...
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Syifaul Fuada,Trio Adiono,Prasetiyo Prasetiyo
Pág. pp. 225 - 233
In this report, we perform the digital filter computation using Matlab for Wi-Fi tracking application. This work motivates to improve the accuracy of filter algorithm in the RSSI-based distance localization system. There are several aspects that we can i...
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Yong Tian, Bizhong Xia, Mingwang Wang, Wei Sun and Zhihui Xu
State of charge (SOC) estimation is essential to battery management systems in electric vehicles (EVs) to ensure the safe operations of batteries and providing drivers with the remaining range of the EVs. A number of estimation algorithms have been devel...
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Zhiwei He, Mingyu Gao, Caisheng Wang, Leyi Wang and Yuanyuan Liu
Accurate estimation of the state of charge (SOC) of batteries is one of the key problems in a battery management system. This paper proposes an adaptive SOC estimation method based on unscented Kalman filter algorithms for lithium (Li)-ion batteries. Fir...
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Ngo Van Hien, Ngo Van He, Van-Thuan Truong and Ngoc-Tam Bui
In this paper, a hybrid realization model is proposed for the controllers of autonomous underwater vehicles (AUVs). This model is based on the model-based systems engineering (MBSE) methodology, in combination with the model-driven architecture (MDA), th...
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Nicolas Sockeel, John Ball, Masood Shahverdi and Michael Mazzola
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Jian Wang, Andong Hu, Xin Li and Yan Wang
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Jian Wang, Andong Hu, Xin Li and Yan Wang
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Ariel Omar Cepero Díaz,Ana Isabel González Santos,Lisniel Sánchez Morales,Javier Muñoz Álvarez,Mario Morera Hernández
Pág. 79 a la 89
La determinación de la posición angular instantánea del rotor es parte integral del control en los accionamientos de Motores de Reluctancia Conmutada. La medición directa de esta variable adiciona complejidad y costo al sistema y no siempre brinda buenos...
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