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5th International Conference on Computer Engineering and Application (ICCEA)

作者： Li, Siyang Liu, Congjian Zheng, Xiaojun Bian, Jinxin Dalian Jiaotong Univ Sch Mech Engn Dalian Peoples R China

ISBN: (纸本)9798350386783;9798350386776

The introduction of intelligent search algorithms provides an excellent solution to the global and local path planning problems of UAVs. The most classic and representative is Particle Swarm Optimization (pso). However, when applying pso algorithm to UAV path planning, it is easy to be constrained by factors such as environmental changes and fail to achieve the expected results. In order to solve the communication delay and communication reliability problems in wireless communication, a path planning study under successive control of UAVs is proposed. In this study, the defects of pso algorithm and the problems in UAV path planning are improved. The improved algorithm introduces the adaptive weight into the update mechanism, and combines the Levy flight strategy to improve the global search strategy to reduce the impact of environmental changes on the algorithm update, so as to ensure the optimal solution. It can be seen from the simulation results that the improved pso algorithm has achieved significant improvement in data update accuracy, local and overall search capabilities. Compared with genetic algorithm, grey wolf optimization algorithm and pso algorithm, the improved pso algorithm has obvious advantages such as fast planning speed and short planning path.

关键词： Consecutive Control Unmanned Air Vehicle pso algorithm Levey Flight Strategy Path Optimization

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Customized mutated pso algorithm of isolation enhancement for printed MIMO antenna with ISM band applications

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2022年 145卷

作者： Hosseini, V. Farhang, Y. Majidzadeh, K. Ghobadi, Ch. Islamic Azad Univ Comp Engn Dept Urmia Branch Orumiyeh Iran Islamic Azad Univ Dept Comp Engn Khoy Branch Khoy Iran Urmia Univ Dept Elect Engn Orumiyeh Iran

Scattering parameters of a quad-port MIMO antenna with 120 x 180 x 1.6 mm3 dimensions for ISM band applications are enhanced in three phases in the MATLAB simulator utilizing an innovative proposed metaheuristic optimization algorithm. In the first phase, physical dimensions of a simple structure printed monopole antenna are tuned to create a strong resonance at 2.45 GHz using the proposed pso algorithm. In the second phase, the designed antenna is used to establish a dual-port MIMO antenna with 120 x 90 x 1.6 mm(3) dimensions, and a decoupling element is located and tuned using the proposed algorithm to make strong isolation between the radiant elements. Finally, another decoupling element is placed and adjusted utilizing the recommended algorithm to obtain substantial isolation between the radiant patches of the quad-port MIMO antenna. The developed algorithm uses new scenarios to avoid trapping at the local minima and approaching the global minima with higher velocity rates than the conventional pso algorithm. Experimental results confirm-56.41 dB resonance at the 2.45 GHz frequency with 0.6 dBi measured peak gain. Also, proposed dual-and quad-port MIMO antennas can provide isolation better than-65.54 and -36.89 dB between the antenna ports, which are at least-15 dB better than conventional pso algorithm results.

关键词： Optimization pso algorithm MIMO Antenna ISM Frequency Band Microstrip Antenna

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Optimization of terahertz fingerprint and identification capabilities by using pso algorithm

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OPTIK 2022年 264卷

作者： Latreche, Feriel Yasmine Lazoul, Mohamed Boutemedjet, Ayoub Coutaz, Jean-Louis Ecole Mil Polytech Lab Syst Lasers BP 17 Bordj El Bahri Algiers 16111 Algeria Univ Savoie Mt Blanc Lab IMEP LAHC F-73376 Le Bourget Du Lac France

In the terahertz range, materials are often characterized by a specific spectral response that contains unique resonant frequencies, which allows to detect and identify them very precisely. In this work, we have developed a new efficient calculating model that can be applied to identify the resonance frequencies of the material using terahertz time-domaine spectroscopy measurements in transmission mode. Furthermore, the pso optimization algorithm is an extremely powerful tool that, once associated with our model, allowed us to quickly and accurately extract the optical characteristics of the material such as the absorption and the refractive index of the material. The performances of the proposed technique are very relevant particularly in the case of important noise.

关键词： Terahertz spectroscopy Spectral fingerprints pso algorithm

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Intelligent Energy Management System for Hybrid Electric Vehicle Based on Optimization Wavelet Neural Network by pso algorithm 12th

Intelligent Energy Management System for Hybrid Electric Veh...

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12th International Conference on Information Systems and Advanced Technologies, ICISAT 2022

作者： Kamoona, Mustafa Kivanc, Omer Cihan Ahmed, O.A. Department of Power Electronics and Clean Energy Systems Istanbul Okan University Istanbul34959 Turkey Department of Electrical and Electronics Engineering Istanbul Okan University Istanbul34959 Turkey Department of Electrical Engineering University of Technology Baghdad Iraq

ISBN: (纸本)9783031253430

An intelligent controller is proposed in this work for plug-in hydrogen Fuel Cell Hybrid Electric Vehicle (FCHEV) that integrated Fuel Cell (FC), Battery (BAT), and Ultracapacitor (UC) to reach a high dynamic response and keep high efficiency of energy storage resources. That controller manages the power flow of the system in an intelligent tracking to be optimal for FCHEV. Where the Fuzzy Logic Controller (FLC) and the Artificial Neural Networks (ANNs) are employed to meet the Energy Management System (EMS) requirements thereby efficient management has been developed for ensuring that three power sources are running at high efficiency with their mechanism performance and meets efficiently the load power demands and uses less hydrogen consumption. Moreover, the control strategy of the Wavelet Neural Network that is linked with the PI controller, named WNN-PI, and the parameters of WNN-PI are tuned by using the Particle Swarm Optimization (pso) algorithm is also used. Considering the battery and ultra-capacitor state-of-charge (SOC) with power conditioning unit converters that control the FC and BAT output and provide the desired voltage of the DC bus as well as keep the voltage stable at 300 V. Analysis and evaluations of the system have been done by MATLAB/Simulink environment while various vehicle driving cycles have been applied by using ADVISOR Simulator. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Artificial Neural Networks EMS Fuzzy Logic Controller pso algorithm Wavelet Neural Network

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Optimal sizing of hybrid Systems for Power loss Reduction and Voltage improvement using pso algorithm: Case study of Guissia Rural Grid

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ENERGY REPORTS 2022年 8卷 86-95页

作者： Djidimbele, Repele Ngoussandou, Bello-Pierre Kidmo, Dieudonne Kaoga Kitmo Bajaj, Mohit Raidandi, Danwe Univ Maroua Natl Adv Sch Engn Maroua Dept Renewable Energy Maroua Cameroon Natl Inst Technol Delhi Dept Elect Engn Delhi India Univ Maroua Natl Adv Sch Engn Maroua Dept Civil Engn & Architecture Maroua Cameroon

This work proposes a method for sizing and reducing power losses (MSRPL) of a hybrid photovoltaic and wind system (HPWS) in a radial distribution network (RDN) by developing an objective function, thanks to particles swarm optimization (pso). The constraints defined on the objective function has permitted us to size the photovoltaic generator, wind turbine and total production cost. The proposed system configuration (PSC) improved the voltage level and minimized the power losses (PL) in the radial network. The proposed pso algorithm was tested on Guissia (10 degrees 30'N, 15 degrees 18'E) rural electric grid (GREG) in the far north of Cameroon, which has a radial configuration. The integration of a battery bank allowed the system to have the power factor correction and production of active and reactive power. The test on IEEE 33-bus and IEEE 69 bus showed the robustness of the system and the reliability of the proposed method which also minimized the total cost of the system over 20 years. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Guissia rural electric grid Power loss pso algorithm Radial distribution

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The Performance of a Grid-Connected Induction Motor during Unbalanced Voltage Sags and Harmonic Reduction Utilizing a Floating DC Link Converter based on the pso algorithm

The Performance of a Grid-Connected Induction Motor during U...

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2024 Asia Pacific Conference on Innovation in Technology, APCIT 2024

作者： Siva Prasad, D. Jayalakshmi, V. Bharath Institute of Higher Education and Research Electrical and Electronics Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350361537

In the present research, the particle swarm optimisation (pso) algorithm is proposed as a basic modern algorithm approach for induction motors (IMs) with enhanced dynamic performance, unbalanced voltage sags and regulation of floating DC link converter that is maintained floating capacitors in charging and discharging states. The basic three-phase H-bridge converter has the ability to produce high-frequency harmonics in the converters for the purpose of compensating for voltage sag. Electromagnetic interference (EMI) could be occurred during switching. To satisfy regulatory standards, filters and other EMI mitigation techniques can be necessary. However, as a consequence of the floating capacitance voltage amplitude of the converter the conventional strategies of predictive torque control (PTC), direct torque control (DTC), model predictive control (MPC) and Artificial Bee Colony Optimization (ABC) algorithm result in a high torque ripple in the steady state and slow dynamics in the transient state. The present research proposes a three-leg, two-level IGBT with a floating capacitor. This difficulty is avoided by the proposed converter architecture with pso algorithm and it further eliminates the need for extra energy storage products, transformers, power filters to lessen THD and ameliorate uneven voltage sags. © 2024 IEEE.

关键词： Dc link converters Electromagnetic interference Induction motor drives pso algorithm Voltage regulation

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The multilayer structure design of magnetic-carbon composite for ultra-broadband microwave absorption via pso algorithm

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JOURNAL OF ALLOYS AND COMPOUNDS 2022年 913卷

作者： He, Li Li, Xun Zhao, Yuchen Zhong, ZuTing Zhang, Jie Yang, Ying Xi, Xiaoli Xian Univ Technol Sch Automation & Informat Engn Xi'an 710048 Peoples R China Xi An Jiao Tong Univ Elect Mat Res Lab Key Lab Minist Educ Xi'an 710049 Peoples R China Xi An Jiao Tong Univ Int Ctr Dielect Res Sch Elect Sci & Engn Xi'an 710049 Peoples R China

In this work, the multilayer magnetic-carbon composites were precisely constructed by the Particle Swarm Optimization algorithm to achieve an ultra-broadband electromagnetic wave absorbing (EMA) performance. Composite with different content of magnetic Fe3S4 hollow microspheres and carbon nanotubes were prepared as absorbing fillers to obtain four basic monolayer EMA materials. Based on their different electromagnetic parameters, various multilayer structures were designed and further simulated via the finite element method. In a series of designed EMA materials with intense absorption and broad bandwidth, a 2-layer model with 3.8 mm thickness was selected as an optimal structure, owning to its excellent simulation EMA property with a minimum reflection loss of -40 dB and an extended qualified bandwidth value of 11.7 GHz. According to the designed structural parameters, the 2-layer composite was successfully prepared and the measured results were in good agreement with the simulated properties, confirming the accuracy of the multilayer optimization. The FEM simulation analysis revealed that the high EMA performance of the multilayer composites is attributed to the enhancement of the electromagnetic loss capability as well as the improvement of broadband impedance matching between the material surface and air. (c) 2022 Elsevier B.V. All rights reserved.

关键词： Microwave absorption Multilayer composite pso algorithm Impedance match

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Cross-coupled control for contour tracking error of free-form curve based on fuzzy PID optimized by improved pso algorithm

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MEASUREMENT & CONTROL 2022年第7-8期55卷 807-820页

作者： Ji, Wei Cui, Xiang Xu, Bo Ding, ShiHong Ding, Yi Peng, JiaQi Jiangsu Univ Sch Elect & Informat Engn XueFu Rd 301 Zhenjiang 212013 Jiangsu Peoples R China

Aiming at the free-form curve contour tracking error problem of CNC machining, a cross-coupled controller based on Fuzzy PID using an improved pso algorithm is proposed. First, the exact formulas of the linear and circular arc contour errors under a plane trajectory are derived, and an estimation method for the free curve profile error under a plane trajectory based on the principle of approximate approximation of preferred points is designed. Second, a cross-coupled controller based on Fuzzy PID using an improved pso algorithm is achieved. An improved pso algorithm, whose learning factor is adjusted with the inertia weight, is used to optimize the controller parameters and achieve contour tracking of the free curve. Finally, a two-dimensional biaxial experimental platform is used to test the proposed method. The results demonstrate that the optimal gain parameters obtained by the proposed strategy can significantly improve contour control accuracy in biaxial contour tracking tasks. The proposed contour error control scheme can achieve not only a nearly perfect contouring error estimation, but also an obvious promotion of contouring accuracy.

关键词： CNC machining contour error cross-coupled controller fuzzy PID pso algorithm

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Optimal Allocation of Innovation and Entrepreneurship Education Resources in Colleges and Universities Based on pso algorithm 2

Optimal Allocation of Innovation and Entrepreneurship Educat...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Jue, Liu Yunnan College of Business Management Yunnan Kunming China

ISBN: (纸本)9798350317558

Under the background of knowledge economy and globalization, entrepreneurship education in colleges and universities has become an important force to promote economic development and social progress. Optimizing the allocation of educational resources and stimulating students' innovative spirit and practical ability are the key directions of current higher education reform. This paper will discuss how to cultivate innovative talents to meet the needs of the future society through entrepreneurship education and optimizing resource allocation in colleges and universities. © 2024 IEEE.

关键词： Allocation of educational resources innovation and entrepreneurship education in colleges and universities multi-objective optimization pso algorithm

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Digital control method for bucket truck based on pso algorithm 6

Digital control method for bucket truck based on PSO algorit...

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6th International Conference on Mechatronics, Robotics and Automation (ICMRA)

作者： Jian, Xu Zhang, Liang Sun, Shuangxue Li, Shengzu Wang, Gang Li, Jinbin Huang, Beinuo State Grid Hubei Elect Power Co Ltd Elect Power Res Inst Wuhan Peoples R China Wuhan Power Supply Co Ltd State Grid Hubei Elect Power Co Wuhan Peoples R China China Univ Geosci Sch Automat Wuhan Peoples R China

ISBN: (纸本)9798350307542;9798350307535

In the aspect of power maintenance, the control of bucket trucks has always been a difficult problem. It often requires operators to have enough experience. However, even so, due to the complex environment, it often takes a lot of time to control the end effector of the bucket truck to reach the appropriate position, which greatly reduces the efficiency of the operation and increases the accident rate during the entire process. To solve this problem, this article proposes a digital control method for bucket truck based on pso algorithm. We first established a mathematical model of the bucket truck based on DH parameters and completed its forward kinematics derivation. On this basis, we introduced the pso algorithm to complete the digital control of the bucket truck, solving the problem of high difficulty in obtaining its analytical solution. The experiment shows that the proposed method has high accuracy in both virtual and real environments, greatly improving the control efficiency of the bucket truck.

关键词： power maintenance bucket truck pso algorithm

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