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Adaptive Compensation of Voltage and Current Amplifiers for Relay Testing

Adaptive Compensation of Voltage and Current Amplifiers for ...

引用

IEEE International Conference on Electrical, Computer, and Energy Technologies (ICECET)

作者： Velasquez, Omar C. Luz de Almeida, Luiz Alberto Bordin, Claudio Vilca Callata, Leonidas Shuta Lloclla, Henry Vilcanqui, Omar A. C. Univ Nacl Altiplano UNAP Dept Ingn Mecan Elect Puno Peru Univ Fed ABC UFABC Engn Modeling & Appl Social Sci Ctr CECS Santo Andre SP Brazil Univ Fed Acre UFAC Elect Engn Rio Branco Brazil

ISBN: (纸本)9781665442312

We proposed and analyze the use of adaptive feedforward controllers based on discrete-time FIR filters to enhance the performance of voltage and current class-D amplifiers to be used in protective relay testing. The feedforward controller compensates for inherent frequency response distortions, allowing the compound system to conduct tests with signal components from DC up to the 50th harmonic. We investigate the use of both, the lms and the RLS algorithms to estimate the parameters of the feedforward controller for different relay burdens. Results concerning convergence rates of the controller parameters and temporal response for ATP-like transient waveforms for use in protective relay tests are presented.

关键词： Relay testing Real time simulation hardware-in-the-loop (HIL) simulation power system transient simulation Current and Voltage Amplifiers lms algorithm RLS algorithm

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Low Power VLSI Implementation of Adaptive Noise Canceller Based on Least Mean Square algorithm

Low Power VLSI Implementation of Adaptive Noise Canceller Ba...

引用

4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： Ramakrishna, Vakulabharanam Kumar, Tipparti Anil JNTUH Dept Elect & Commun Engg Hyderabad Andhra Pradesh India Anurag Coll Engn Dept Elect & Commun Engn Hyderabad Andhra Pradesh India

ISBN: (纸本)9780769549637;9781467356534

This paper presents VLSI implementation of adaptive noise canceller based on least mean square algorithm. First, the adaptive parameters are obtained by simulating noise canceller on MATLAB. Simulink model of adaptive noise canceller was developed and the noise is suppressed to a much larger extent in recovering the original signal. The data such as input and output signals, desired signal, step size factor and coefficients of adaptive filter was processed by FPGA. Finally, the functions of field programmable gate array -based system structure for adaptive noise canceller based on lms algorithm are synthesized, simulated, and implemented on Xilinx XC3s200 field programmable gate array using Xilinx ISE tool. The research results show that it is feasible to implement and use adaptive least mean square filter based adaptive noise canceller design which consumed a low power of 0.156W at 29.1 degrees C in a single field programmable gate array chip.

关键词： VLSI lms algorithm Adaptive Filter Noise Canceller Error estimation

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Adaptive Filtering for Noise Reduction in the Input Circuits of Protection Relay Systems

Adaptive Filtering for Noise Reduction in the Input Circuits...

引用

IEEE-Power-and-Energy-Society General Meeting

作者： Abe, Masahide Koshita, Shunsuke Kawamata, Masayuki Miura, Shogo Kawasaki, Tomoyuki Sekiguchi, Katsuhiko Tohoku Univ Sendai Miyagi 9878579 Japan Toshiba Co Ltd Fuchu Tokyo 1838511 Japan

ISBN: (纸本)9781424483570

This paper describes an adaptive filtering to reduce noise in the analog input circuits of microprocessor-based protection relay (digital relay) systems. Considering that digital relays tend to have multiple functions, it is important to raise signal to noise ratios (SNR) in analog input circuits to a level that will satisfy the requirements of these functions. We have realized a noise reduction method employing an adaptive filter which can be generally applied;not only within digital relays but also for IEDs in substations and independent of protection schemes. This paper presents the concept of this method and illustrates this effectiveness using a number of examples and experimental results.

关键词： Protection Relay Adaptive Filter IED Noise Reduction MATLAB/Simulink lms algorithm

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Predictive power control for S-UMTS based on least-mean-square algorithm.

Predictive power control for S-UMTS based on least-mean-squa...

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3rd International Conference on 3G Mobile Communication Technologies

作者： Gombachika, HSH Tafazolli, R Evans, BG Univ Surrey Guildford GU2 5XH Surrey England

ISBN: (纸本)0852967497

In order to exploit the presence of non-zero autocorrelation between consecutive samples of the channel variations, predictive schemes based on recursive least squares (RLS) adaptive algorithm have been proposed. The main motivation for using RLS has been its fast convergence property. The RLS algorithm places enormous computational burden on the transmit power control system. In slow power control, however, the fast convergence property is not a stringent requirement. In this paper therefore, we propose a predictive power control scheme based on a least-mean-square (lms) algorithm. Unlike the RLS algorithm, the lms algorithm is simple to implement and has low computational complexity. Furthermore, the lms algorithm has better tracking properties than the RLS algorithm in a nonstationary environment. We demonstrate, through simulation, that a performance gain of up to 0.5 dB in terms of the standard deviation of transmit power control error, over the conventional closed-loop transmit power control, can be achieved through the use of the lms algorithm. Furthermore, we optimise the performance of closed-loop power control based on the parameters of the lms predictor;adaptation constant (mu) and predictor order (p).

关键词： power control S-UMTS predictive power control lms algorithm

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An adaptive multistage parallel interference canceller for CDMA systems over frequency selective fading channels 9

An adaptive multistage parallel interference canceller for C...

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9th Asia-Pacific Conference on Communications held in conjunction with the 6th Malaysia International Conference on Communications (MICC 2003)

作者： Huang, YF Wen, JH Chung Chou Inst Technol Dept Comp Sci & Informat Engn Yuanlin Changhua Taiwan

ISBN: (纸本)0780381149

In this paper, a bit inversion (BI) procedure in previous works is further investigated over multipath frequency selective fading channels for DS-CDMA communication systems. Moreover, after the BI procedure performed with partial parallel interference cancellation (PPIC) schemes where the partial cancellation weight (PCW) is adapted by the least mean square (lms) adaptive filtering algorithm, a full PIC is performed to closely cancel the multiple access interference (MAI). Simulation results show that the proposed four-stage BI-based full PIC (BI-FPIC) detector closely cancels the MAI over a two-path frequency selective fading channel and outperforms. the lms-based PPIC schemes.

关键词： DS-CDMA multiuser detection parallel interference cancellation lms algorithm

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Study of Intelligent Control Device for Circuit Breaker Controlled Interrupting Short Circuit Currents

Study of Intelligent Control Device for Circuit Breaker Cont...

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IEEE International Conference of Region 10 (TENCON)

作者： FangChun-en LiuXing LiXian-min LiWei Xihua Univ Sch Elect & Informat Chengdu 610039 Sichuan Peoples R China

ISBN: (纸本)9781479928255;9781479928279

An Intelligent control unit (ICU) is developed based on a field-programmable gate array FPGA and a digital signal processor DSP for the controlled interruption short circuit currents of high voltage circuit breakers. The sample value messages which meet with IEC61850-9-2LE protocols are received and decoded by the FPGA, at the same time a synchronization method is used to reduce the effects of network transmit delays on the performances of controlled interruption short circuit currents. Then the parameters of short circuit currents are estimated based on the least mean squares(lms) algorithm and the receive sample values. The dichotomy algorithm is used to obtain the zero crossing of the short circuit currents as targets for synchronizing the tripping command to the circuit breaker so as to achieve a predetermined optimum arcing times. Finally, a setup is made to verify the performance of the intelligent control unit and the algorithms, and the testing results show that the intelligent control unit for the high voltage circuit breaker is able to quickly realize controlled interruption the short circuit currents, and the performance meet with IEC62271-302 requirements to control accuracy in controlled switching, and the prediction errors of the short circuit current zeros are less than +/- 1ms.

关键词： intelligent circuit breaker controlled interruption short circuit currents lms algorithm

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Research and Design of Adaptive Noise Cancellation Based on Particle Swarm Optimization algorithm

Research and Design of Adaptive Noise Cancellation Based on ...

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3rd International Conference on Manufacturing Science and Engineering (ICMSE 2012)

作者： Zhang, Jie Jiang, Shiqi Chengdu Univ Informat Technol Dept Control Engn Chengdu Sichuan Peoples R China

ISBN: (纸本)9783037853726

Particle swarm optimization (PSO) is a kind of evolutionary computation technology which simulates the behavior of biological species. The essence of adaptive noise cancellation (ANC) is adjust the weight value of filter based on the input signals, the lms algorithm is commonly used in this system, However, the convergence behavior and maladjustment of the lms algorithm is seriously affected by the step-size mu, and the optimum value of mu. cannot be determined easily, In this paper, Particle Swarm Optimization with linear decreasing inertia weight is proposed to solve the filter problem instead of lms, taking the FIR filter of ANC as example, the simulation shows that ANC based on the PSO algorithm is better than classic ANC based on the lms algorithm, and it gives the satisfactory results.

关键词： Particle Swarm Optimization (PSO) lms algorithm adaptive filter Adaptive Noise Cancellation (ANC)

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On control of six freedom magnetostrictive smart structure

On control of six freedom magnetostrictive smart structure

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5th Pacific Rim International Conference on Advanced Materials and Processing

作者： Mao, JQ Li, C Xu, HB Jiang, CB Li, L Beijing Univ Aeronaut & Astronaut Res Div 7 Beijing 100083 Peoples R China Beijing Univ Aeronaut & Astronaut Sch Mat Sci & Engn Beijing 100083 Peoples R China Beijing Univ Aeronaut & Astronaut Sch Jet Prop Beijing 100083 Peoples R China

ISBN: (纸本)0878499601

A six degree-of-freedom (DOF) Stewart platform is constructed, which consists of six TbDyFe alloy magnetostrictive actuators, and applied to active vibration control. To control the smart structure, a real time computer control system is built. An improved adaptive filtering algorithm is proposed in this paper, which is used for the computer control system. The results of experiments show that the smart structure and the proposed algorithm are efficient for active vibration control. More than 30 dB of vibration attenuation is achieved in real-time experiments.

关键词： magnetostrictive material TbDyFe active vibration control Stewart platform lms algorithm

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Noise Reduction from ECG Signal Using Error Normalized Step Size Least Mean Square algorithm (ENSS) with Wavelet Transform 50th

Noise Reduction from ECG Signal Using Error Normalized Step ...

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50th Annual Convention of the Computer-Society-of-India (CSI) on Digital Life

作者： Nagal, Rachana Kumar, Pradeep Bansal, Poonam Amity Univ Dept ECE ASET Noida Uttar Pradesh India IP Univ Dept CSE MSIT New Delhi India

ISBN: (纸本)9789811088483;9789811088476

This paper presents the reduction of baseline wander noise found in ECG signals. The reduction has been done using wavelet transform inspired error normalized step size least mean square (ENSS-lms) algorithm. We are presenting a wavelet decomposition-based filtering technique to minimize the computational complexity along with the good quality of output signal. The MATLAB simulation results validate the good noise rejection in output signal by analyzing parameters, excess mean square error (EMSE) and misadjustment.

关键词： ECG signal ENSS algorithm lms algorithm Wavelet transform EMSE Misadjustment

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A least mean square based algorithm to determine transmit and receive weights for Eigenbeam MIMO systems

A least mean square based algorithm to determine transmit an...

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67th IEEE Vehicular Technology Conference

作者： Tominaga, Takayuki Muta, Osamu Akaiwa, Yoshihiko Kyushu Univ Grad Sch Informat Sci & Elect Engn Nishi Ku Fukuoka 8190395 Japan

ISBN: (纸本)9781424416448

MIMO system is a technology to realize high data rates and high capacity. Among various MIMO systems, Eigenbeam MIMO (E-MIMO) system achieves the theoretical maximum capacity. The E-MIMO system uses eigenvectors of channel autocorrelation matrix as transmit and receive weights. As a method to find these eigenvectors, eigenvalue decomposition or singular value decomposition (SVD) are generally well-known. In this paper, we propose a least mean square (lms) based algorithm to find the transmit and receive weights without significant increase of computational complexity for E-MIMO system. Computer simulation shows that the proposed algorithm gives almost the same performance as that of SVD.

关键词： MIMO Eigenbeam MIMO lms algorithm

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