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Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-Based speed estimation

Journal of Computer Science & Technology 2014年第4期29卷 589-604页

作者：蒋志平惠维李向阳唐少杰赵季中韩劲松赵鲲王志肖波 School of Electronic and Information Engineering Xi’an Jiaotong University CCF ACM IEEE Department of Computer Science Illinois Institute of Technology Chicago IL 60616 U.S.A. Department of Information Science University of Texas at Dallas Richardson TX U.S.A. Network Center The Aviation University of Air Fone

Numerous indoor localization techniques have been proposed recently to meet the intensive demand for location- based service （LBS）. Among them, the most popular solutions are the Wi-Fi fingerprint-based approaches. The core challenge is to lower the cost of fingerprint site-survey. One of the trends is to collect the piecewise data from clients and establish the radio map in crowdsourcing manner. However the low participation rate blocks the practical use. In this work, we propose a passive crowdsourcing channel state information （CSI） based indoor localization scheme, C2IL. Despite a crowdsourcing based approach, our scheme is totally transparent to the client and the only requirement is to connect to our 802.11n access points （APs）. C2IL is built upon an innovative method to accurately estimate the moving speed solely based on 802.11n CSI. Knowing the walking speed of a client and its surrounding APs, a graph matching algorithm is employed to extract the received signal strength （RSS） fingerprints and establish the fingerprint map. For localization phase, we design a trajectory clustering based localization algorithm to provide precise real-time indoor localization and tracking. We develop and deploy a practical working system of C2IL in a large office environment. Extensive evaluations indicate that the error of speed estimation is within 3%, and the localization error is within 2 m at 80% time in a very complex indoor environment.

关键词： channel state information speed estimation fingerprint map graph matching indoor localization

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speed estimation Using Commercial Wi-Fi Device in Smart Home

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ZTE Communications 2021年第2期19卷 44-52页

作者： TIAN Zengshan YE Chenglin ZHANG Gongzhui HE Wei JIN Yue Chongqing University of Posts and Telecommunications Chongqing 400065China

With the development of Internet of Things(IoT),the speed estimation technology has attracted significant attention in the field of indoor security,intelligent home and personalized *** to the indoor multipath propagation,the speed information is implicit in the motion-induced reflected ***,the wireless signal can be leveraged to measure the speed of moving *** existing speed estimation approaches,users need to either carry a specialized device or walk in a predefined ***-Fi based approaches provide an alternative solution in a device-free *** this paper,we propose a direction independent indoor speed estimation system in terms of Electromagnetic(EM)wave statistical *** on the statistical characteristics of EM waves,we establish the deterministic relationship between the Autocorrelation Function(ACF)of Channel State Information(CSI)and the speed of a moving *** experiments show that the system achieves a median error of 0.18 m/s for device-free single target walking speed estimation.

关键词： CSI speed estimation electromagnetic wave direction-independent autocorrelation function

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speed estimation for Robotic Fish Based on Pressure Sensor

Speed Estimation for Robotic Fish Based on Pressure Sensor

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第26届中国控制与决策会议

作者： Qixin Zhu Kun Zhong Guangming Xie School of Mechanical Engineering Suzhou University of Science and Technology School of Electrical and Electronic Engineering East China Jiaotong University College of Engineering Peking University

Based on pressure sensor, a speed estimation method for robotic fish is presented in this paper. Based on property of pressure sensor, the relation model between pressure and speed is fitted by experimental analysis. Using this relation model, the swimming speed of robotic fish can be calculated by pressure. A validation experiment was conducted with a freely swimming robot. The experiment results demonstrated the feasibility and accuracy of this measure method, which providing a new way to measure the swimming speed of robotic fish.

关键词： Pressure Sensor Lateral Line System Robotic Fish speed estimation

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Rotor speed estimation Using Zero-Crossing Times Signal of Stator Current

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第二十六届中国控制会议

作者： Ghanbarian M.M. Mohammadi A. Kavehnia F. Keivani H. Askari M.R. Mohammadi S. Islamic Azad University

ISBN: (纸本)7900719229;9787900719225

The purpose of this study is to illustrate a new method for sensorless vector control of induction *** approach uses Zero-Crossing Times（ZCT）signal of stator current to estimate rotor *** signal contains useful information which can be used for estimation of rotor speed and *** have used this information for online estimation of rotor *** avoid time consuming Fast Fourier Transformation（FFT）analysis of ZCT signal,we have used switchable high order Butterworth Filters in order to extract rotor *** result has expressed good performance of this simple and inexpensive sensorless vector control of induction motors.

关键词： Sensorless Vector Control Zero-Crossing Time speed estimation Induction Motor.

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PSO-based Extended Kalman Filtering for speed estimation of an Induction Motor

PSO-based Extended Kalman Filtering for Speed Estimation of ...

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第37届中国控制会议

作者： Baoye Song Jiwei Xu Lin Xu College of Electrical Engineering and Automation Shandong University of Science and Technology

speed estimation is one of the critical issues of sensorless control of induction motors. This paper is concerned with a PSO-based extended Kalman filter（EKF） for speed estimation of induction motors（IMs）. Firstly, the system model for EKF based speed estimation of IMs is briefly introduced. Then, to overcome the defect of constant covariance matrices of the traditional EKF, the elements of the covariance matrices of EKF have been optimized by using a novel modified PSO（MPSO）,which could deal with the frequently appearing phenomenon of premature convergence of classical PSO algorithm. Finally, a simulation model of induction motor drive is constructed and the PSO-based EKF has been verified to outperform the traditional EKF for the speed estimation of induction motors.

关键词： PSO EKF Particle Swarm Optimization Extended Kalman Filter speed estimation Induction Motor Stator Current

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Adaptive Gain Tuning Rule for Nonlinear Sliding-mode speed Control of Encoderless Three-phase Permanent Magnet Assisted Synchronous Motor

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中国电工技术学会电机与系统学报(英文) 2023年第3期7卷 301-310页

作者： Ghada A.Abdel Aziz Rehan Ali Khan IEEE Power Electronics and Energy Conversion Department Electronics Research InstituteCairo 11843Egypt Department of Electrical Engineering University of Science&TechnologyBannuPakistan.

In this paper, an adaptive gain tuning rule is designed for the nonlinear sliding mode speed control(NSMSC) in order to enhance the dynamic performance and the robustness of the permanent magnet assisted synchronous reluctance motor(PMa-Syn RM) with considering the parameter uncertainties. A nonlinear sliding surface whose parameters are altering with time is designed at first. The proposed NSMSC can minimize the settling time without any overshoot via utilizing a low damping ratio at starting along with a high damping ratio as the output approaches the target set-point. In addition, it eliminates the problem of the singularity with the upper bound of an uncertain term that is hard to be measured practically as well as ensures a rapid convergence in finite time, through employing a simple adaptation law. Moreover, for enhancing the system efficiency throughout the constant torque region, the control system utilizes the maximum torque per ampere technique. The nonlinear sliding surface stability is assured via employing Lyapunov stability theory. Furthermore, a simple sliding mode estimator is employed for estimating the system uncertainties. The stability analysis and the experimental results indicate the effectiveness along with feasibility of the proposed speed estimation and the NSMSC approach for a 1.1-k W PMa-Syn RM under different speed references, electrical and mechanical parameters disparities, and load disturbance conditions.

关键词： Permanent magnet assisted synchronous reluctance motor Nonlinear sliding mode speed control speed estimation Parameter uncertainties Sliding mode estimator

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Modified sensorless vector control system of IM based on flux observer

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Journal of Harbin Institute of Technology(New Series) 2007年第6期14卷 880-883页

作者：邹积勇许镇琳孙凯 School of Electrical and Automation Engineering Tianjin University

This paper presents a speed sensorless vector control system for induction machine (IM),which is based on a flux observer. According to vector control theory of IM,the q-axis rotor flux converging on zero is utilized for speed estimation. Additionally this system solved the online identification of stator resistance by d-axis flux error. The advantages of the proposed system are simplicity and avoidance of the problems caused by only using a voltage model. The effectiveness of the proposed system has been verified by simulation and experimentation.

关键词： induction machine sensorless vector control flux observer speed estimation

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NOVEL SENSORLESS VECTOR CONTROL SYSTEM OF INDUCTION MACHINE BASED ON FLUX OBSERVER IN FIELD WEAKENING

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Transactions of Tianjin University 2006年第1期12卷 1-5页

作者：邹积勇许镇琳孙凯 SCHOOL OF ELECTRICAL ENGINEERING AND AUTOMATION TIANJIN UNIVERSITY TIANJIN 300072CHINA

A speed-sensorless vector control system for induction machines （IMs）is presented, According to the vector control theory of IMs, the rotor flux is estimated based on a flux observer,and the speed is estimated through the method of q-axis rotor flux converging on zero with proportional integral regulator, A 0.75 kW,50 Hz,two-pole induction machine was used in the simulation and experimental verification, The simulation model was constructed in Matlab. A series of tests were performed in the field weakening region, for both no-load and loaded operation. The estimated speed tracks the actual speed well in the based speed region and field weakening region （ 1 per unit value to 4 per unit value）. The small estimation error of residual speed is due to the existence of slip.

关键词： induction machines (IMs) sensorless vector control flux observer speed estimation

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Sensored and sensorless scalar-control strategy of a wind-driven BDFRG for maximum wind-power extraction

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Journal of Control and Decision 2018年第2期5卷 209-227页

作者： Mohamed G.Mousa S.M.Allam Essam M.Rashad Department of Electrical Power and Machines Engineering Faculty of EngineeringTanta UniversityTantaEgypt

This paper presents a scalar volt per hertz(V/f)control technique for maximum power tracking of a grid-connected wind-driven brushless doubly fed reluctance generator(BDFRG).The proposed generator has two stator windings namely;power winding,directly connected to the grid and control winding,connected to the grid through a bi-directional *** order to enhance the performance of the proposed scalar-control strategy,a soft starting method is suggested to avoid the over-current of the bi-directional ***,the capability of generator speed estimation for sensorless control is also *** capability of the proposed scalar-control technique is validated using a sample of simulation *** addition,the presented simulation results ensure the effectiveness of the proposed control strategy for maximum wind-power extraction under windspeed ***,the results show that the estimated generator speed is in a good accordance with the actual generator speed which supports sensorless control capability.

关键词： Brushless doubly fed reluctance generator wind-power generation systems soft starting scalar V/f control maximum windpower extraction speed estimation

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Realization of Sensorless Vector Control System Based on MRAS with DSP

Realization of Sensorless Vector Control System Based on MRA...

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第二十七届中国控制会议

作者： Huang Yushui,Liu Dan Department of Electrical and Automatic Engineering,Nanchang University,Nanchang 330031,P.R.China

Sensorless vector control of an induction motor drive essentially means vector control without any speed *** is possible to estimate the speed signal from machine terminal voltages and currents with the help of a *** vector controlled drives are commercially available at this time.A sensorless vector control system based on model referencing adaptive system（MRAS） is *** calculation model of rotor flux was *** sensorless vector control system was realized based on the chip of *** simulation and test result verified that the method of sensorless vector control is feasible and valid.

关键词： MRAS Sensorless vector control speed estimation

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