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binary search Based Flexible Power Point Tracking algorithm for Photovoltaic Systems

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2021年第7期68卷 5909-5920页

作者： Gomez-Merchan, Ruben Vazquez, Sergio Marquez, Abraham Dehghani Tafti, Hossein Leon, Jose, I Pou, Josep Rojas, Christian A. Kouro, Samir Franquelo, Leopoldo G. Univ Seville Elect Dept Seville Spain Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Univ Tecn Federico Santa Maria Dept Elect Engn Valparaiso 2390123 Chile

Grid-connected photovoltaic (PV) systems can provide grid support features by implementing flexible power point tracking (FPPT) strategies. Conventionally, the FPPT algorithms are based on linear search algorithms, such as perturb and observe. These solutions offer good practical results but usually lead to oscillations around the steady-state operating point. The main contribution of this article is to propose a binary search based FPPT (BNS-FPPT) algorithm. BNS is a computer-science-based searching algorithm that performs a logarithmic search within a sorted data array until the target voltage value is found. Compared to sequential searching algorithms, the proposed BNS-FPPT algorithm conducts a nonlinear search and avoids waving around the final value, reducing the steady-state error. In this article, the basics of the BNS-FPPT are described in detail. In addition, experimental results are conducted on a laboratory setup to compare the BNS-FPPT performance against a state-of-the-art solution. The results show that compared to linear search-based FPPT algorithms, the proposed BNS-FPPT is able to provide the required grid support functionalities, and avoid waving around the final operation point.

关键词： Heuristic algorithms Steady-state Convergence Photovoltaic systems Oscillators Maximum power point trackers Active power control binary search algorithm flexible power point tracking (FPPT) photovoltaic (PV) system

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Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and binary search algorithms

Global Maximum Power Point Tracking for Photovoltaic Systems...

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14th Annual IEEE Energy Conversion Congress and Exposition (IEEE ECCE) / IEEE-Industry-Applications-Society (IEEE-IAS) Annual Meeting

作者： Kumaresan, Anusha Farivar, Glen G. Tafti, Hossein Dehghani Beniwal, Neha Gorla, Naga BrahmendraYadav Pou, Josep Nanyang Technol Univ Energy Res Inst NTU Interdisciplinary Grad Programme Singapore Singapore Nanyang Technol Univ Energy Res Inst NTU ERIN Singapore Singapore Univ Western Australia Dept Elect Elect & Comp Engn Perth WA Australia Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

ISBN: (数字)9781728193878

ISBN: (纸本)9781728193878

Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms in the literature have disadvantages such as low convergence rate and requirement to scan for the local peaks. To overcome these drawbacks, this paper presents a fast and simple hybrid GMPPT algorithm, which combines the advantages of the binary search and the secant algorithms. The binary search algorithm is used for the global maximum power point (GMPP) reference generation and the secant algorithm is applied for tracking the generated power reference. The superlinear convergence rate of the secant algorithm and the logarithmic convergence rate of the binary search algorithm aid in fast convergence to the GMPP. The performance of the proposed hybrid GMPPT algorithm is validated through simulations in MATLAB-Simulink and also compared with a conventional GMPPT algorithm.

关键词： Active power control binary search algorithm maximum power point tracking photovoltaic (PV) systems secant algorithm

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binary search Based Flexible Power Control for Single-Stage Multiport Inverter-Fed Motor Drives 2

Binary Search Based Flexible Power Control for Single-Stage ...

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2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Luo, Kehan Zhou, Dehong Zou, Jianxiao Zhou, Xue Shen, Zewei School of Automation Engineering University of Electronic Science and Technology of China Uestc Chengdu China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Uestc Chengdu China

ISBN: (纸本)9798350313765

A single-stage multiport inverter (SSMPI)-fed motor drive, which connects dc-side energy sources to the ac motor without the application of any dc/dc power converters, offers a lightweight and highly-efficient multiple-source integration option for hybrid electric vehicles. However, the existing flexible power control strategies of SSMPI require adjusting more control parameters and suffering from low control precision. To tackle these issues, first, an equivalent two-level model-based space vector modulation strategy is adopted to accomplish the synthesis of the expected voltage vector, and power distribution between dc-port sources may also be realized simultaneously through regulating the two redundant zero vectors' duration times. Then, different from prior control schemes, the power distribution control problem is transformed into the problem of solving nonlinear equations and a binary search algorithm is utilized to solve them. Based on this, the two redundant zero vectors' duration times are calculated for realizing an anticipant power distribution. The proposed method features fewer control parameter adjustments and improves power control performance with simplified implementation. Finally, the expected output power control performance of the proposed approach are verified via several steady-state comparative experiments on a permanent-magnet synchronous motor (PMSM) in the laboratory corroborate. © 2023 IEEE.

关键词： binary search algorithm flexible power control Single-stage multiport inverter (SSMPI)-fed motor drives

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Stability analysis of delayed T-S fuzzy power system via a cubic function negative determination lemma

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NONLINEAR DYNAMICS 2025年第6期113卷 5439-5456页

作者： Luo, Renfu Ren, Jiaojiao Shi, Kaibo Chengdu Univ Sch Elect Informat & Elect Engn Chengdu 610106 Peoples R China

In this paper, a cubic function negative determination lemma is proposed for stability analysis of delay-dependent power systems with energy storage systems (ESSs). Firstly, a Takagi-Sugeno (T-S) fuzzy power system model with ESS is constructed by analyzing the nonlinear characteristics caused by the valve position restriction. Secondly, a fuzzy proportional-integral (P-I) controller is adopted to stabilize this fuzzy power system. Then, a negative determination lemma for cubic functions is developed to determine the allowable delay upper bound (ADUB) for the delayed fuzzy power system. Using the proposed lemma as well as the Lyapunov-Krasovskii functional (LKF), stability criteria are derived. In addition, a binary search algorithm is employed in order to reduce the computational burden when obtaining the ADUB. Finally, the effectiveness of the proposed methods is verified by two case studies.

关键词： Delay-dependent power system Cubic function Fuzzy P-I control Stability binary search algorithm

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A Feedforward Controlled Digital Low-Dropout Regulator With Weight Redistribution algorithm and Body Voltage Control for Improving Line Regulation With 99.99% Current Efficiency and 0.5-mV Output Voltage Ripple

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 2023年第2期58卷 486-496页

作者： Chen, Bo-Hao Wu, Tzu-Ying Zheng, Kuo-Lin Chen, Ke-Horng Lin, Ying-Hsi Lin, Shian-Ru Tsai, Tsung-Yen Natl Yang Ming Chiao Tung Univ Inst Elect & Comp Engn Hsinchu 30010 Taiwan Chip GaN Power Semicond Corp Hsinchu 300 Taiwan Realtek Semicond Corp Hsinchu 300 Taiwan

In this article, a digital LDO with a feedforward controller and weight redistribution algorithm (WRA) for line regulation improvement is proposed. The proposed digital low dropout (DLDO) uses a feedforward path to obtain the information of V-IN and applies WRA and body voltage controller to adjust I-OUT to minimize the output voltage ripple Delta V-OUT. Different from conventional freeze mode, the feedforward control (FFC) with low quiescent current can keep Delta V-OUT < 0.5 mV in steady state and Delta V-OUT < 4 mV during line transient. In order for the feedback loop to rapidly wake up, the transient pump circuit is used to reduce the undershoot to less than 30 mV in the case of load change from 1 to 200 mA. Due to low quiescent current in the FFC, the DLDO achieves peak current efficiency of 99.99% at heavy loads.

关键词： binary search algorithm body voltage control (BVC) digital low dropout (DLDO) feedforward control (FFC) technique line regulation power supply rejection (PSR)

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Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2022年第5期45卷 846-858页

作者： Leomanni, Mirko Quartullo, Renato Bianchini, Gianni Garulli, Andrea Giannitrapani, Antonio Univ Siena Dept Informat Engn I-53100 Siena Italy Univ Siena Dept Informat Engn & Math I-53100 Siena Italy Univ Perugia I-06125 Perugia Italy

In this paper, the trajectory planning problem for autonomous rendezvous and docking between a controlled spacecraft and a tumbling target is addressed. The use of a variable planning horizon is proposed in order to construct an appropriate maneuver plan, within an optimization-based framework. The involved optimization problem is nonconvex and features nonlinear constraints. The main contribution is to show that such problem can be tackled effectively by solving a finite number of linear programs. To this aim, a specifically conceived horizon search algorithm is employed in combination with a polytopic constraint approximation technique. The resulting guidance scheme provides the ability to identify favorable docking configurations, by exploiting the time-varying nature of the optimization problem endpoint. Simulation results involving the capture of the nonoperational EnviSat spacecraft indicate that the method is able to generate optimal trajectories at a fraction of the computational cost incurred by a state-of-the-art nonlinear solver.

关键词： Autonomous Rendezvous and Docking Envisat binary search algorithm Convergence Analysis Model Predictive Control Trajectory Optimization Fuel Consumption Mixed Integer Linear Programming ESA Orbital Debris

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Performance Comparison of Flexible Power Point Tracking algorithms on Normal and Degraded Photovolatic Modules 7

Performance Comparison of Flexible Power Point Tracking Algo...

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IEEE 7th Southern Power Electronics Conference (SPEC)

作者： Kumaresan, Anusha Tafti, Hossein Dehghani Farivar, Glen G. Gorla, Naga BrahmendraYadav Beniwal, Neha Pou, Josep Nanyang Technol Univ Interdisciplinary Grad Programme Energy Res Inst NTU Singapore Singapore Univ Western Australia Dept Elect Elect & Comp Engn Crawley WA Australia Nanyang Technol Univ Energy Res Inst NTU ERI N Singapore Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

ISBN: (纸本)9798350399882

Power grids with increased penetration of photovoltaic (PV) systems face difficulties such as power quality issues, poor system inertia and voltage fluctuations. Hence, the development of flexible power point tracking (FPPT) algorithms, which controls the PV power output rather than the conventional method of extracting the maximum power, was motivated by the necessity to address these issues. Many FPPT algorithms have been presented in the literature for operation during uniform irradiance condition of the PV modules. Each algorithm has distinct benefits and drawbacks and under a particular circumstances, one algorithm may be preferable to another. This study examines the performance of various FPPT algorithms operating with normal and degraded PV modules. Simulation tests in MATLAB/Simulink and experimental results are taken to study their performances. A detailed comparison based on the algorithm's resilience, convergence rate, complexity, and the ease in obtaining the initial data is then presented.

关键词： Active power control binary search algorithm newton's algorithm perturb and observe photovoltaic (PV) systems secant algorithm

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A Maximum Independent Set Method for Scheduling Earth-Observing Satellite Constellations

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JOURNAL OF SPACECRAFT AND ROCKETS 2021年第5期58卷 1416-1429页

作者： Eddy, Duncan Kochenderfer, Mykel J. Stanford Univ Aeronaut & Astronaut Durand Bldg 450 Lomita Mall Stanford CA 94305 USA

Operating Earth-observing satellites requires efficient planning methods that coordinate activities of multiple spacecraft. The satellite task-planning problem entails selecting actions that best satisfy mission objectives for autonomous execution. Task scheduling is often performed by human operators assisted by heuristic or rule-based planning tools. This approach does not efficiently scale to multiple assets as heuristics frequently fail to properly coordinate actions of multiple vehicles over long horizons. Additionally, the problem becomes more difficult to solve for large constellations as the complexity of the problem scales exponentially in the number of requested observations and linearly in the number of spacecraft. It is expected that new commercial optical- and radar-imaging constellations will require automated planning methods to meet stated responsiveness and throughput objectives. This paper introduces a new approach for solving the satellite-scheduling problem by generating an infeasibility-based graph representation of the problem and finding a maximal independent set of vertices for the graph. The approach is tested on a scenario of up to 10,000 requested imaging locations for the SkySat constellation of optical satellites as well as simulated constellations of up to 24 satellites. Performance is compared with contemporary graph-traversal and mixed-integer linear programming approaches. Empirical results demonstrate improvements in the solution time along with the number of scheduled collections beyond baseline methods. For large problems, the maximum independent set approach is able to find a feasible schedule with 8% more collections in 75% less time.

关键词： Satellite Constellations Earth Constellations Synthetic Aperture Radar SkySat Mixed Integer Linear Programming binary search algorithm Evolutionary algorithm Image Resolution North American Aerospace Defense Command

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Modeling, analysis, and control of wind-driven induction generators supplying DC loads under various operating conditions

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WIND ENGINEERING 2021年第3期45卷 680-695页

作者： Akbarali, Mahaboob Subahani Subramanium, Senthil Kumar Natarajan, Kumaresan Natl Inst Technol Dept Elect & Elect Engn Tiruchirappalli 620015 India

A configuration of a self-excited induction generator supplying DC loads with constant voltage through a diode bridge rectifier and a buck-type DC-DC converter is proposed. The rectifier input current is made continuous, by connecting a suitably designed series filter inductor. The method of binary search algorithm is used to solve for the operating parameters of the generator. The performance of the entire unit is predetermined for the various patterns of speed and power operations. For the dynamic analysis of the induction machine, anabc-dqmodeling has been employed and the simulation results on the unit are obtained under both steady state and transient state using MATLAB/Simulink toolbox. A prototype model of the unit has been built in the laboratory and the experimental results have been presented, thereby validating the performance and usefulness of the system.

关键词： Wind energy conversion system digital signal controller binary search algorithm power converters self-excited induction generator

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A novel estimation method for weight and center-of-gravity via the aircraft trim data

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MEASUREMENT 2023年第1期220卷

作者： Zhai, Shaobo Li, Guangwen Huang, Penghui Hou, Mingshan Jia, Qiuling Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China Sichuan Tengden Scitech Innovat Co Ltd Chengdu 610037 Peoples R China

Aircraft weight and center-of-gravity are significant parameters that affect flight stability and controllability, and unreasonable CG position may cause serious flight accidents. However, there is no airborne sensor can directly measure aircraft weight and center-of-gravity. In view of this, a novel estimation method for weight and center of-gravity via the aircraft trim data is introduced. Specifically, the trim data calculation process for the aircraft with variable center of mass is given. Then, an inverse interpolation approach based on the binary search algorithm is presented to estimate the aircraft weight and center-of-gravity, and an improved moving average filter is introduced to eliminate the adverse effect on estimation results caused by the high-frequency noise of airborne sensors. Some simulations are given to demonstrate the validity of the proposed estimation method, and it can be drawn from the result that the aircraft longitudinal CG position estimation error is within 0.05 %MAC.

关键词： Weight Center of gravity Aircraft trim data Inverse interpolation binary search algorithm Moving average filter

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