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13th International Symposium on Electronics and Telecommunications (ISETC)

作者： Belega, Daniel Petri, Dario Dallet, Dominique Univ Politehn Timisoara Dept Measurements & Opt Elect Timisoara Romania Univ Trento Dept Ind Engn Trento Italy Univ Bordeaux Bordeaux IPB IMS Lab Talence France

ISBN: (纸本)9781538659250

In this paper the accuracy of the synchrophasor estimator returned by the enhanced frequency-domain linear least-squares (e-FLLS) algorithm recently proposed in the scientific literature is investigated. Harmonically distorted or modulated electrical signals at off-nominal frequency are considered either in the presence or absence of additive wide-band noise. The e-FLLS algorithm is based on the rectangular window and it estimates the phasor amplitude and phase using three Discrete Fourier Transform (DFT) samples. It effectively reduces the detrimental contributions of both the fundamental image component and wide-band noise on the estimated parameters. The accuracies of the e-FLLS algorithm and the corrected Interpolated DFT (IpDFTc) algorithm are then compared to each other through computer simulations in different operating conditions. As accuracy parameter the Total Vector Error (TVE) is used.

关键词： error analysis interpolated DFT algorithm least-squares algorithm parameter estimation synchrophasor

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Identification of Structural Dynamic Parameters Using Block Pulse Functions and Recursive least-squares algorithm

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IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING 2017年第2期41卷 149-158页

作者： Ajorloo, Yaser Hosseini Ghaffarzadeh, Hosein Univ Tabriz Fac Civil Engn Tabriz Iran

System identification in recent years with the development of dynamic testing of structures has become one of the useful methods for structural health monitoring and damage detection and also finite element model updating. Identification of structural dynamic parameters is performed by using excitation-response data and includes physical parameters such as mass, stiffness and damping matrices and/or modal parameters such as natural frequencies, damping ratios and modal shapes. This paper presents a new method to identify the dynamical parameters of shear building based on continuous-time state-space estimation using block pulse functions and least-squares technique. Block pulse functions are a set of orthogonal functions with piecewise constant values and useful tools in analysis, identification and system science. Assuming that the input-outputs data of the original system are known, their block pulse coefficients can be calculated by numerical methods, and using block pulse operational matrix, state-space equations of dynamical system are transformed into block pulse regression equations. Based on these equations, the plant matrix is estimated using least-squares algorithm. Then, the physical and modal parameters of structure are identified based on eigenmode data of the estimated plant matrix. To prove the validity and feasibility of the proposed method, numerical simulation of a shear building which is equipped with sensors on all floors and excited by four different normally distributed random signals and an earthquake is presented. The results reveal the proposed method can be beneficial in structural identification with less computational expenses and high accuracy.

关键词： System identification Block pulse functions Continuous-time state space least-squares algorithm Eigenmode data

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Analysis and Assessment of Primary Frequency Regulation Performance Considering Dynamic Response Process of Renewable Energy Units

Analysis and Assessment of Primary Frequency Regulation Perf...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Kuang, Shiqi Xu, Guoyi Wang, Cheng Li, Ang Zhang, Yonglang Bi, Tianshu North China Elect Power Univ Beijing Peoples R China

ISBN: (纸本)9798350381849;9798350381832

Accurate assessment of the primary frequency regulation (PFR) performance of renewable energy units (REU) is critical to ensure the frequency stability in low-inertia power systems. Aiming at the problem that the existing assessment method of PFR cannot accurately reflect the dynamic process of REU with additional PFR control after the disturbance, this paper analyzes the influence of two different delays, communication latency and rising time, on the dynamic effect of PFR of the REUs. The assessment method of PFR based on the first order plus delay time (FOPDT) equivalent model is proposed. Based on the PMU measured frequency and active power data at the point of interconnection (POI), the identification methods of the power frequency proportional coefficient, equivalent latency and equivalent rising time are given. The results show that compared with the existing static assessment method, the proposed method can accurately reflect the static and dynamic characteristics of the PFR process of REU. This method is of great significance to guide transmission system operator to equip REU with PFR capability and set the relevant control parameters of PFR.

关键词： Renewable energy PFR Communication latency Performance assessment Frequency response model least-squares algorithm

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Identification of hydrodynamic coefficients of a ship manoeuvring model based on PRBS input

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OCEAN ENGINEERING 2022年 246卷 110640-110640页

作者： Zhao, Yinghan Wu, Jinbo Zeng, Chenghao Huang, Yuxian Huazhong Univ Sci & Technol Sch Naval Architecture & Ocean Engn Wuhan 430074 Peoples R China Hubei Key Lab Naval Architecture & Ocean Engn Hyd Wuhan 430074 Peoples R China

A new method is proposed to obtain accurate hydrodynamic coefficients of 3-DOF ship models. This method includes two parts: identification algorithm and identification input design. Firstly, the manoeuvring modeling group model of an underactuated ship is introduced. Secondly, the nonlinear model of the ship is converted into a linear form by using the X-swapping technique. An on-line identification law, which is introduced for identifi-cation under relaxed excitation conditions, is used to estimate the unknown hydrodynamic coefficients of the ship dynamic model. Thirdly, two Pseudo-Random Binary Sequence signals are chosen as the identification in-puts to excite the rudder and the propeller, which can improve identification performance. Finally, a simulation example is put forward to demonstrate the effectiveness of the proposed identification method.

关键词： Manoeuvring modeling group System identification Hydrodynamic coefficients least-squares algorithm Pseudo-random binary sequence

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A Joint TDOA/FDOA Localization algorithm Using Bi-iterative Method with Optimal Step Length

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Chinese Journal of Electronics 2021年第1期30卷 119-126页

作者： LIU Congfeng YUN Jinwei Research Institute of Electronic Countermeasure Xidian University

In order to improve the estimation accuracy of multi-station joint Time difference of arrive/Frequency difference of arrive(TDOA/FDOA) location with Bi-Iterative method, a solution for the position of target with Gauss-Newton optimal step length is proposed in this paper. First, get the initial estimation of target based on Two-stage weighted least-squares(TSWLS)algorithm, and then alternately solve the position and velocity of the target with Bi-Iterative method. In this paper, Gauss-Newton method is applied to iteratively solve the target position, including the detailed equations of the descending direction and the optimal iterative step length in each iterative process. Simulations are carried out to examine the algorithm's performance by comparing it with TSWLS method and Gauss-Newton method regardless of the step length. The results show that when Gauss noise variance is small, the estimation accuracy is close to Cramer Rao lower bound(CRLB) and the proposed method performs better than the other two methods. In addition, because the model which includes the position and velocity of the observation station and the target is in line with the over-the-horizon reality scene in this paper,our research has certain practical value.

关键词： direction-of-arrival estimation least-squares algorithm multistation joint Time difference Bi-Iterative method Gauss-Newton method target position Bi-iterative Method iterative process estimation accuracy Gauss-Newton optimal step length TSWLS method optimal iterative step length Gaussian noise Newton method time-of-arrival estimation

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An improved CS-LS hybrid algorithm on microseisrnic source location

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SYSTEMS SCIENCE & CONTROL ENGINEERING 2021年第1期9卷 467-478页

作者： Da, Shujin Li, Xuegui Han, Fei Li, Hanyang Northeast Petr Univ Artificial Intelligence Energy Res Inst Daqing Peoples R China Northeast Petr Univ Heilongjiang Prov Key Lab Networking & Intelligen Daqing Peoples R China Northeast Petr Univ Sch Comp & Informat Technol Daqing Peoples R China

This paper presents a hybrid global optimization algorithm for the localization of microseismic events, which is composed of the least-squares (LS) algorithm and the Cuckoo search (CS) algorithm. It significantly reduces the demand for the accuracy of the inversion velocity model. The positioning process is presented as follows: firstly, construct an objective function by utilizing time difference information of P-wave;then, find the final optimal value through iterations by embedding this objective function as the fitness function to the hybrid algorithm. Through simulation experiments, the hybrid algorithm can acquire more accurate locations and a faster convergence speed than the LS algorithm.

关键词： Microseismic localization time difference information least-squares algorithm cuckoo search algorithm

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Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models

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IET CONTROL THEORY AND APPLICATIONS 2020年第15期14卷 2176-2185页

作者： Gu, Ya Zhu, Quanmin Nouri, Hassan Changshu Inst Technol Sch Elect Engn & Automat Changshu 215500 Jiangsu Peoples R China Univ West England Dept Engn Design & Math Bristol BS16 1QY Avon England

This study presents, based on bias compensation, an integrated parameter and state estimation algorithm for a class of time-delay non-linear systems which are described by canonical observable state-space model. In technical development, the state-space system model is transformed into an input-output representation/realisation by eliminating the state variables, which is accordingly used as a feasible identification model. With such an input-output structure, directly data measurable to accommodate the estimation bias, an augmented least-squares algorithm (by adding the bias correction terms into the estimates) is proposed for estimating the parameters and states interactively. Regarding the estimator properties, the proposed algorithm is proved unbiased. The simulation results show that the proposed algorithm has good performance in estimating the parameters of state-space systems.

关键词： observers state-space methods parameter estimation delays linear systems least squares approximations nonlinear control systems state estimation time-delay nonlinear state-space models bias compensation integrated parameter state estimation algorithm time-delay nonlinear systems canonical observable state-space model state-space system model state variables feasible identification model input-output structure estimation bias least-squares algorithm bias correction estimator properties state-space systems

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Closed-loop parameter identification of second-order non-linear systems: a distributional approach using delayed reference signals

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IET CONTROL THEORY AND APPLICATIONS 2019年第3期13卷 411-421页

作者： Miranda-Colorado, Roger Inst Politecn Nacl CITEDI CONACyT Ave Inst Politecn Nacl 1310 Tijuana Bc 22435 Mexico

This work presents a closed-loop parameter identification algorithm for a class of second-order non-linear systems affected by constant disturbances, quantisation, and state estimation errors. The proposed scheme permits obtaining a linear parameterisation of the non-linear system by developing a simplified procedure that allows using the distributional framework approach straightforwardly. The parametrisation stage requires signals with known delays. These delays are introduced to the system through the reference signal. Then, the linear parametrisation is used by a least-squares (LS) algorithm and a state estimator to generate the estimated values of the system parameters and the constant disturbance. The proposed algorithm is compared to a standard off-line LS algorithm in numerical simulations. Besides, the effectiveness and robustness of the proposed methodology are verified using a Monte Carlo simulation by considering that the system's output is corrupted by white noise. The results indicate that the proposed parameter identification scheme outperforms the LS algorithm, but without requiring any pre-processing stage.

关键词： adaptive control white noise multivariable systems least squares approximations nonlinear control systems closed loop systems parameter estimation delays Monte Carlo methods state estimation linear systems robust control parameter identification scheme standard off-line LS algorithm system parameters state estimator least-squares algorithm linear parametrisation reference signal known delays distributional framework approach nonlinear system linear parameterisation state estimation errors constant disturbance closed-loop parameter identification algorithm delayed reference signals distributional approach second-order nonlinear systems

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LED-based Vehicular Visible Light Ranging

LED-based Vehicular Visible Light Ranging

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IEEE International Conference on Communications (IEEE ICC)

作者： Xu, Rui Xu, Zhengyuan Univ Sci & Technol China Chinese Acad Sci Key Lab Wireless Opt Commun Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9781538680889

With the development of autonomous driving technology, inter-vehicle ranging has attracted a lot of attention. In this paper, we propose a simple and low cost visible light ranging system. It exploits a visible light emitting diode (LED) as the transmitter and an avalanche photodiode (APD) array as the receiver in each vehicle. The module measures the round-trip distance of the signal from the rear vehicle LED to the front vehicle which receives and sends back the signal. The position of the front vehicle is then estimated by least-squares and Levenberg-Marquardt algorithms. Upon a complete channel and noise model, simulation results are compared against experimental results, with distance from 1 m to 19 m at a step of 1 m. The system is able to measure the absolute distance up to 14 m and 19 m with an error less than 5 cm and 20 cm respectively.

关键词： Visible light ranging avalanche photodiode array least-squares algorithm Levenberg-Marquardt algorithm

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Optimal parameters estimation and modelling of photovoltaic modules using analytical method

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HELIYON 2019年第7期5卷 e02137-e02137页

作者： Elkholy, A. Abou El-Ela, A. A. Elect Res Inst Photovolta Cells Dept El Nozha Egypt Menoufia Univ Fac Engn Elect Engn Dept Shibin Al Kawm Egypt

This paper introduces a proposed approach to estimate the optimal parameters of the photovoltaic (PV) modules using in-field outdoor measurements and manufacturers' datasheet as well as employing the nonlinear least-squares fitting algorithm. The main goal is to determine the optimal parameter values of the implemented model which are: series resistance, reverse saturation current, photocurrent, ideality factor and shunt resistance in case of the five parameters model. A Microsoft Excel spreadsheet is developed in order to perform modeling and analysis of the parameters analytical initial values using manufacturer datasheet specifications regarding to the changing in solar irradiance and ambient temperature. Then, the sum of the squared residuals between in-field measured and simulated data are calculated and minimized using Excel solver in order to obtain the optimal values of the parameters simultaneously, to describe the best fit for the outdoor measured data. The proposed approach is used to find the optimal parameters of the PV module TRINA TSM-295 using an array tester. The convergence confidences of the estimated parameters are presented and assessed in an easy way. This approach allows all parameters to be optimized, simultaneously. The results are verified and compared with other research studies for different PV cell technologies. The obtained results are useful for the tested PV module manufacturer and assess the performance of the products in different weather conditions.

关键词： Applied mathematics Computational mathematics Computer science Energy Solar cells Solar irradiance least-squares algorithm Photovoltaic modules characteristic Optimal parameters estimation Shunt resistance of PV cell Photovoltaics

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