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binary search algorithm for adaptive impedance matching network

ELECTRONICS LETTERS 2016年第9期52卷 714-715页

作者： Xiong, B. Hofmann, K. Tech Univ Darmstadt Integrated Elect Syst Lab Darmstadt Germany

A novel design strategy for adaptive impedance matching network which consists of two tunable components is presented. The input resistance is controlled by the first tunable component and independent of the second tunable component. Additionally, the proposed strategies ensure that the input resistance is proportional to the first tunable component and input reactance is proportional to the second tunable component. Therefore, the binary search algorithm is employed to calibrate the tunable matching network. In contrast to the single-step method, the convergence speed is improved from O(N) to O(log N).

关键词： search problems impedance matching calibration convergence antenna accessories tuning adaptive impedance matching network tunable components input resistance binary search algorithm tunable matching network calibration convergence speed improvement antenna impedance variation

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binary search algorithm as Maximum Power Point Tracking Technique for Photovoltaic System Under Partial Shaded Conditions 3

Binary Search Algorithm as Maximum Power Point Tracking Tech...

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3rd IEEE Conference on Energy Conversion (CENCON)

作者： Tiong, Meng Chung Daniyal, Hamdan Sulaiman, Mohd Herwan Bakar, Mohd Shafie Univ Malaysia Pahang Fac Elect & Elect Engn Sustainable Energy & Power Elect Res Cluster Gambang Malaysia

ISBN: (纸本)9781538639351

This paper presents an approach to determine the maximum power point (MPP) in photovoltaic (PV) system under partial shaded conditions using binary search algorithm (BSA). The BSA perform MPP tracking by changing the search boundaries to eliminate the region where the MPP cannot lie. In this study, the BSA and particle swarm optimization (PSO) based MPPT were developed in Matlab Simulink with a DC/DC boost converter. Both algorithms were simulated under ten different test cases of partial shading conditions to study the accuracy, speed and tracking efficiency. BSA exhibits a fast convergence with zero steady state oscillation along with the capability of performing MPP tracking under partially shaded PV system.

关键词： Particle Swarm Optimization binary search algorithm MPPT Photovoltaic

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An improved and simplified approach for the steady-state analysis of self-excited induction generators using binary search algorithm

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COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING 2024年第2期43卷 339-354页

作者： Raj, R. Essaki Sridhar, Sundaramoorthy Rajalakshmi Engn Coll Dept Elect & Elect Engn Chennai India

PurposeThis paper aims at developing an improved method, based on binary search algorithm (BSA) for the steady-state analysis of self-excited induction generators (SEIGs), which are increasingly used in wind energy electric conversion systems. The BSA is also compared with linear search algorithm (LSA) to bring out the merits of BSA over ***/methodology/approachAll the parameters of SEIG, including the varying core loss of the machine, have been considered to ensure accuracy in the predetermined performance values of the set up. The nodal admittance method has been adopted to simplify the equivalent circuit of the generator and load. The logic and steps involved in the formulation of the complete procedure have been illustrated using elaborate *** proposed approach is validated by the experimental results, obtained on a three-phase 240 V, 5.0 A, 2.0 kW SEIG, which closely match with the corresponding predicted performance values. The analysis is shown to be easy to implement with reduced computation ***/valueA novel improved and simplified technique has been formulated for estimating the per unit frequency (a), magnetizing reactance (Xm) and core loss resistance (Rm) of the SEIG using the nodal admittance of its equivalent circuit. The accuracy of the predetermined performance is enhanced by considering the SEIG's varying core loss. Only simple MATLAB programming has been used for adopting the algorithms.

关键词： Self-excited induction generator Steady-state analysis binary search algorithm Linear search algorithm Core loss resistance Nodal admittance method

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HARDWARE REALIZATION OF binary search algorithm

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IEE PROCEEDINGS-E COMPUTERS AND DIGITAL TECHNIQUES 1980年第4期127卷 148-151页

作者： HANNA, FK MISRA, AK Electronics Laboratories University of Kent Canterbury UK

It is shown how, by augumenting a microprocessor or mincomputer with a relatively small amount of iteratively driven logic, the operation of table lookup using a binary search algorithm can be speeded up by 1½ to 2 orders of magnitude. The approach is very suitable for 1.s.i. implementation as a standard peripheral device for a microprocessor.

关键词： hardware realisation Data handling techniques iterative methods binary search algorithm table lookup Numerical analysis iteratively driven logic

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Speed Sensorless Control of SPMSM Drives for EVs With a binary search algorithm-Based Phase-Locked Loop

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年第5期69卷 4968-4978页

作者： Sun, Xiaodong Hu, Changchang Lei, Gang Yang, Zebin Guo, Youguang Zhu, Jianguo Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Jiangsu Peoples R China Univ Technol Sydney Sch Elect & Data Engn Sydney NSW 2007 Australia Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Jiangsu Peoples R China Univ Sydney Sch Elect & Informat Engn Sydney NSW 2006 Australia

This article presents a new method to extract accurate rotor position for the speed sensorless control of surface-mounted permanent-magnet synchronous motors (SPMSMs), based on the back electromotive force (EMF) information. The concept of finite control set-model predictive control is employed, and its cost function is related to the back EMF. An optimal voltage vector is selected from several given voltage vectors by comparing their fitness values. Moreover, the position space is divided into four sectors, and the fitness of each sector boundary is calculated and compared. The rotor position is first located in the sector surrounded by two boundaries that minimize the cost function. Then the selected sector is split into two parts, and the binary search algorithm is applied to reduce the sector area to improve the accuracy of position estimation. To overcome the drawback of the back EMF-based sensorless scheme, an I-f startup method is employed to accelerate the motor to the desired speed. An experiment has been carried out to compare the performance of the proposed method and the conventional phase-locked loop (PLL) in terms of steady-state and transient conditions.

关键词： binary search algorithm sensorless control phase locked loop (PLL) surface-mounted permanent-magnet synchronous motor (SPMSM)

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Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm

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STATISTICS AND COMPUTING 2016年第5期26卷 929-943页

作者： Biernacki, Christophe Jacques, Julien Univ Lille 1 Lab Painleve F-59655 Villeneuve Dascq France Univ Lille 1 Inria F-59655 Villeneuve Dascq France Univ Lyon 2 Lab ERIC F-69676 Bron France

We design a probability distribution for ordinal data by modeling the process generating data, which is assumed to rely only on order comparisons between categories. Contrariwise, most competitors often either forget the order information or add a non-existent distance information. The data generating process is assumed, from optimality arguments, to be a stochastic binary search algorithm in a sorted table. The resulting distribution is natively governed by two meaningful parameters (position and precision) and has very appealing properties: decrease around the mode, shape tuning from uniformity to a Dirac, identifiability. Moreover, it is easily estimated by an EM algorithm since the path in the stochastic binary search algorithm can be considered as missing values. Using then the classical latent class assumption, the previous univariate ordinal model is straightforwardly extended to model-based clustering for multivariate ordinal data. Parameters of this mixture model are estimated by an AECM algorithm. Both simulated and real data sets illustrate the great potential of this model by its ability to parsimoniously identify particularly relevant clusters which were unsuspected by some traditional competitors.

关键词： Ordinal data binary search algorithm Latent variables AECM algorithm

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Performance Comparison of Bit-Level Median Filtering Circuits Based on binary search algorithm 3

Performance Comparison of Bit-Level Median Filtering Circuit...

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3rd International Conference on Control and Robotics Engineering (ICCRE)

作者： Wongjan, Anan Julsereewong, Amphawan Eguchi, Kei King Mongkuts Inst Technol Ladkrabang Fac Engn Bangkok 10520 Thailand Fukuoka Inst Technol Dept Informat Elect Higashi Ku Fukuoka Fukuoka 8110295 Japan

ISBN: (纸本)9781538666630

Implementing bit-level median filtering circuits based on binary search algorithm is one of powerful methods to provide simple and modular configurations. The aim of this paper is to compare the performances of four median filtering circuits utilizing binary search algorithm in terms of operation time and power consumption, which are major characteristics for signal and image processing in real time. These studied filtering circuits are implemented through the employment of existing logic control and majority voting modules. Two different configurations of logic control module as well as two different configurations of majority voting module for four possible circuit realizations are described. LabVIEW simulation results are employed for verifying the performances of the studied median filtering circuits.

关键词： median filtering circuit binary search algorithm logic control majority voting signal and image processing

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A binary search algorithm based Optimal Sizing of Photovoltaic and Energy Storage Systems 13

A Binary Search Algorithm based Optimal Sizing of Photovolta...

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13th Annual IEEE Green Technologies Conference (GreenTech)

作者： Debnath, Anjan Olowu, Temitayo O. Parvez, Imtiaz Sarwat, Arif Florida Int Univ Dept Elect & Comp Engn Miami FL 33199 USA

ISBN: (纸本)9781728191393

The use of PVs and storage systems behind-themeter provides backup power supply to owners as well as capable of providing ancillary services to the power grid such as peak load shifting, demand response, energy arbitrage amongst others. This paper proposes a binary-search based optimization algorithm determines the size of photovoltaic (PV) plus battery standalone system in order to meet a defined load profile. The objective function formulation minimizes the overall system cost and makes sure that the total load rejection is zero by the PV-plus-battery (PPB) system for the load profile considered throughout the year. The optimization variable set in the proposed formulation are the number of the PVs and the batteries. The battery state-of-charge, the number of PVs and batteries are set as the optimization constraints. The proposed algorithm is fed with a year-long actual irradiance and load profile data for facility located in Miami FL. The cost factors for the PV and battery are also input to the proposed algorithm. The results show that the proposed algorithm can achieve a zero load deficit for the period and the load profile considered.

关键词： binary search algorithm PVs Batteries State-of-charge Optimization

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Detecting IP prefix Hijacking Using Data Reduction-Based and binary search algorithm 6

Detecting IP prefix Hijacking Using Data Reduction-Based and...

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INTERNET TECHNOLOGIES AND ApPLICATIONS (ITA)

作者： Alshamrani, Hussain Ghita, Bogdan Lancaster, David Univ Plymouth Ctr Secur Commun & Network Res CSCAN Plymouth Devon England

ISBN: (纸本)9781479980369

In spite of significant ongoing research, the Border gateway protocol (BGP) still encompasses conceptual vulnerability issues regarding impersonating the ownership of IP prefixes for ASes (Autonomous Systems). In this context, a number of research studies focused on securing BGP through historical-based and statistical-based behavioural models. This paper proposes a novel algorithm aiming to track the behaviour of BGP edge routers and detect IP prefix hijacks based on a typical signature. The algorithm parses the BGP advertisements in order to detect the apparent relocation of specific IP prefixes, either in the same or in different regions. The algorithm aims to identify IP prefixes by multiple independent ASes. The method differs from routing consistency monitoring, which faces difficulties detecting events at the edge of the BGP infrastructure. Based on the RIRs' database, the algorithm can detect national and cross-border IP prefix hijacks very quick. However, 5 results out of 16 were not accurate therefore the algorithm has some false positives and needs further improvement to be done in future.

关键词： BGP advertisements binary search algorithm Data Reduction IP prefix origin AS

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binary search algorithm for Mixed Integer Optimization: Application to energy management in a microgrid.

Binary Search Algorithm for Mixed Integer Optimization: Appl...

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European Control Conference

作者： Paulo R. C. Mendes José M. Maestre Carlos Bordons Julio E. Normey-Rico Department of Automation and Systems Federal University of Santa Catarina Florianpolis Brazil Departamento de Ingeniería de Sistemas y Automática University of Seville Seville Spain

ISBN: (纸本)9781509025923

This paper presents a binary search algorithm to deal with binary variables in mixed integer optimization problems. One example of this kind of problem is the optimal operation of hydrogen storage and energy sale and purchase into a microgrids context. In this work was studied a system composed by a microgrid that has a connection with the external electrical network and a charging station for electric cars. The system modeling was carried out by the Energy Hubs methodology. The proposed algorithm transforms the MIQP (Mixed Integer Quadratic Program) problem into a QP (Quadratic Program) that is easier to solve. In this way the overall control task is carried out the electricity purchase and sale to the power grid, maximizes the use of renewable energy sources, manages the use of energy storages and supplies the charge of the parked vehicles.

关键词： MIQP binary search algorithm Mixed Integer Optimization

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