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Engineering Journal of University of Qatar 2002年 15卷 153-164页

作者： Alammari, R.A. University of Qatar Electrical Engineering Department P.O. Box 2713 Doha Qatar

Voltage stability investigation is of a great importance for long-term electric load expansion as well as power system operation, This paper presents a new algorithm for identification of voltage instability in a specified load bus in a power system. The proposed algorithm is based on the linear kalman filtering algorithm and the maximum power transfer principle. The proposed technique is used to identify Thevenin's equivalent circuit at a bus for different loading conditions, either when the total system loads change at the same rate (long-term voltage stability problem) or when a load on a certain bus changes. The proposed algorithm uses the real measurements at the bus in question to calculate the load impedance. These measurements are the load voltage and current. Thus, it can be implemented on-line on the control centers to investigate the voltage stability. The proposed algorithm is implemented to the standard IEEE 30-bus system.

关键词： kalman filter algorithm Maximum power transfer Thevenin's circuit Voltage stability

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Dynamic Localization of Mobile Robot Based on Triangulation Centroid Estimation 29

Dynamic Localization of Mobile Robot Based on Triangulation ...

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第29届中国控制与决策会议

作者： Sheng Feng Cheng-dong Wu Yun-zhou Zhang College of Information Science & Engineering Northeastern University

ISBN: (纸本)9781509046584

According to the inbuilding disaster rescue system failure in network blind spots, a self-dynamic localization system of mobile robot, which can dynamically choose beacon node and determine centroid of intersection based on circles of three beacon nodes, was proposed. This method can apply Received Signal Strength Indication(RSSI) for distance measurement. Geometric Contraints-based Triangle Centroid Estimation(GCTCE) fulfilled the localization. kalman filter was integrated with the proposed localization to realize the error-correct. The errors caused by the interference of the environmental noises can be minimized efficiently. Especially in network blind spots, the kalman filter provides optimal data. Simulation and experimental results showed the accuracy and adaptivity of the self-dynamic localization of mobile robots.

关键词： WSNs dynamic localization GCTCE kalman filter algorithm RSSI

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Synchronizing Computer Clocks Using kalman filters

Synchronizing Computer Clocks Using Kalman Filters

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5th Joint Conference of the 65th IEEE International Frequency Control Symposium/25th European Frequency and Time Forum

作者： Levine, Judah Natl Inst Stand & Technol Div Time & Frequency Boulder CO 80305 USA

ISBN: (纸本)9781612841106

I have used the kalman filter algorithm to improve the link between the Internet Time Servers operated by the National Institute of Standards and Technology (NIST) and the primary atomic clock ensemble in Boulder, which realizes UTC(NIST) and which is used as the reference for the time servers. The kalman algorithm is better able to separate the contributions of multiple noise sources such as the fluctuations in the asymmetry of the channel delay and the statistical fluctuations in the clock used as the internal reference for the time server. This improved separation has made it possible to compensate to some extent for the lower-quality telephone circuits that are often used as the links for synchronizing the time servers to the atomic clock ensemble.

关键词： Clocks Delay Frequency measurement Internet Internet time servers kalman filter algorithm kalman filters Noise Noise measurement Servers UTC atomic clock ensemble atomic clocks channel delay computer clock synchronization lower quality telephone circuit multiple noise source statistical fluctuation synchronisation

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Dynamic-stochastic spatial forecast of mesoscale temperature and wind fields as applied to estimation of technogenic pollution distribution

Dynamic-stochastic spatial forecast of mesoscale temperature...

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9th Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics

作者： Popov, YB Komarov, VS Il'n, SN Kreminskii, AA Kurakov, VA Kuryshev, VV Lomakina, NY Popova, AI Suvorov, SS Russian Acad Sci Siberian Branch Inst Atmospher Opt Tomsk 634055 Russia

ISBN: (纸本)0819448281

Original methodology and algorithms of spatial extrapolation of mesometeorological fields to the territory uncovered with observational data using the extended kalman filter algorithm and the generalized dynamic-stochastic model of the spatiotemporal behavior of the parameters described by the first-order stochastic differential equations are considered. The results of statistical estimation of the quality of the suggested algorithms used for spatial prediction of the temperature and wind velocity fields on the mesoscale level are discussed.

关键词： mesometeorological fields spatial prediction of the temperature and wind velocity kalman filter algorithm dynamic-stochastic model

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INS/Baro Integration for INS Vertical Channel Based on Adaptive filter algorithm

INS/Baro Integration for INS Vertical Channel Based on Adapt...

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2014中国制导、导航与控制学术会议

作者： Hongyu Yan Long Zhao Digital Navigation Center Beihang UniversityBeijing100191 China Science and Technology on Aircraft Control LaboratoryBeihang UniversityBeijing100191 China

ISBN: (纸本)9781479946983

The information of INS vertical channel is key to control small UAV (Unmanned Air Vehicle).This paper studies the integration of INS/Baro-altimeter based on kalman filter algorithm to improve the calculation accuracy and stability of INS vertical *** proposed kalman filter is constructed by INS and baro-altimeter error model and is simple to *** adaptive factor is used to further improve stability of the *** proposed algorithm is compared with vertical channel damping loop using data from simulation and experimental *** results show that the values calculated by the proposed algorithm are more accurate and stable,and the filter parameters are easier to set.

关键词： adaptive kalman filters altimeters autonomous aerial vehicles error analysis telecommunication channels INS vertical channel damping loop INS-baro-altermeter error integration kalman filter algorithm adaptive filter algorithm calculation accuracy improvement calculation stability improvement control small UAV control small unmanned air vehicle Adaptation models Adaptive filters Adaptive systems Damping Equations kalman filters Mathematical model

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Wind load identification of lattice towers using multi-source heterogeneous monitoring data

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JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS 2023年第1期236卷

作者： Zhang, Qing Fu, Xing Lai, Tao Ren, Liang Dalian Univ Technol State Key Lab Coastal & Offshore Engn Dalian 116023 Peoples R China Nanjing Tech Univ Coll Civil Engn Nanjing 211816 Peoples R China

Wind load is one of the governing design loads for lattice tower structures. However, such information is difficult to be measured directly, and the traditional indirect identification methods highly depend on the accuracy of finite element model and are limited to fluctuating wind loads. To solve this problem, a novel wind load identification method from limited multi-source heterogeneous monitoring data is proposed. First, the complex model of a lattice tower is simplified into a reduced-order model based on the similarity principle of dynamic characteristics. And then, limited strain and acceleration data are fused to reconstruct wind-induced responses and modal parameters based on kalman filter algorithm and mode-superposition method. Finally, the total wind loads, including both mean and fluctuating components, are obtained from identified modal parameters and modal responses. Numerical simulation of a lattice tower verified that the proposed method can reconstruct wind load and base reaction forces with high accuracy, and the anti-noise analysis shows that the proposed method has strong noise robustness. Moreover, the field test of a transmission tower during Typhoon Mangkhut was further carried out to validate the proposed method.

关键词： Wind load identification Lattice tower kalman filter algorithm Field test Reduced-order model

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Intelligent language analysis method for multi-sensor data fusion

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INTERNET TECHNOLOGY LETTERS 2024年第2期7卷

作者： Han, Tengxiao Huanghe Univ Sci & Technol Zhengzhou 450008 Peoples R China

Language intelligence analysis oriented to multi-sensor data fusion is of great significance for language analysis in real scenarios. On the one hand, intelligent language analysis technology can greatly improve the performance of applications such as information retrieval and machine translation, and provide technical support for semantic-level applications. On the other hand, each language has its own unique characteristics, and the advancement of the language system through language analysis technology is of great benefit to natural language analysis. In this letter, an intelligent language analysis method for multi-sensor data fusion is elaborated. Specifically, the kalman filter algorithm is combined to perform the first preprocessing filter fusion on multi-sensor data. Then, the deep learning model is used to design a language analysis model using Bidirectional Long-Short Memory Neural Networks (Bi-LSTM) to obtain deep fusion of multi-sensor data. In the experiment, the multi-sensors are used to collect real language data and public language datasets for verification, and the results show the effectiveness of the method proposed in this letter in terms of syntactic label classification.

关键词： data fusion kalman filter algorithm language analysis multi-sensors

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Research on innovative human capital for China's economic development based on STI model

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APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2022年第2期8卷 581-590页

作者： Yang, Qingqing Chen, Ding Xian Shiyou Univ Sch Econ & Management Xian 710065 Shaanxi Peoples R China

The study uses a modified kalman filter to analyse the impact of innovative human capital's contribution to China's economic development. The kalman filter-STI model is used, and the growth rates of labour force, physical capital and innovative human capital and their contributions to economic growth are further calculated. The analysis employing the kalman filter-STI model leads to the following results: In 2015, the sum of innovative human capital in each region increased by 6.15% compared to 2010. From 2005 to 2021, the number of scientific and technical papers included in three international systems in China decreased from 45% to 31% in Beijing, from 34% to 21% in Shanghai, and decreased in Jilin and Gansu. Jiangsu Province is the province with the largest increase in the share, from 13% to 26%.

关键词： innovative human capital STI model Chinese economy kalman filter algorithm economic development

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Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer

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HELIYON 2024年第5期10卷 e27255页

作者： Xue, Qicheng Zhang, Xin Chen, Hongwei Yue, Meiling Teng, Teng Yu, Jiangbin Beijing Jiaotong Univ Sch Mech Elect & Control Engn Beijing Key Lab Powertrain Technol New Energy Vehi Beijing 100044 Peoples R China Beijing Jiaotong Univ Sch Mech Elect & Control Engn Beijing 100044 Peoples R China

The hybrid power system with dual motors and multiple clutches experiences significant torque fluctuation during mode switching process due to the different torque response characteristics of the motor and engine. To address this issue, this paper focuses on the estimation of clutch friction torque and the development of dynamic coordinated control strategies for the components. Firstly, based on the dynamic model of the novel dual-motor hybrid electric vehicle, a torque observer based on the kalman filter algorithm is developed to predict the friction torque generated in the clutch sliding friction stage. Secondly, the control strategies are developed for the mode switching process from single-motor to dual-motor and from dual-motor to parallel drive on a co-simulation platform. Thirdly, a power level Hardware-In-the-Loop test platform is built, and the performance of the designed control strategies is verified by the HIL platform. The results show that for the mode switching process from dual-motor to parallel drive, compared with the control strategy using the engine target speed, the control strategy based on engine idle speed proposed in this paper reduces the clutch sliding friction work and the maximum longitudinal jerk of the vehicle by 42.5% and 25.4%, respectively.

关键词： Clutch friction torque Dynamic coordinated control strategy Hybrid electric vehicle kalman filter algorithm Mode switching

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Thermodynamics-based measurement of the velocity of high-temperature smoke

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ARCHIVES OF THERMODYNAMICS 2023年第1期44卷 23-36页

作者： Wang, Haoyu China Fire & Rescue Inst Dept Fire Engn Nanyan 4 Beijing 102202 Peoples R China

In view of the high cost and difficulty of ensuring the accu-racy in the measurement of fire smoke velocity, the measurement system developed using platinum resistance temperature detectors and an 8-bit mi-crocontroller, is used to realize the fast measurement of high-temperature fire smoke velocity. The system is based on the thermodynamic method and adopts the kalman filter algorithm to process the measurement data, so as to eliminate noise and interference, and reduce measurement error. The experimental results show that the kalman filter algorithm can effec-tively improve the measurement accuracy of fire smoke velocity. It is also shown that the system has high measurement accuracy, short reaction time, low cost, and is characterized by high performance in the measurement of high-temperature smoke velocity in experiments and practice.

关键词： Thermodynamics Smoke Flow velocity Measurement kalman filter algorithm

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