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11th IEEE International Conference on Solid Dielectrics (ICSD)

作者： Zhang, Shiling Peng, Zongren Peng, Liu Wang, Haorao Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian 710049 Peoples R China

ISBN: (纸本)9781467344616

The optimization method combining Finite Element Method (FEM) and particle swarm optimization (pso) algorithm has been applied to design of corona ring structure for composite insulator used along Ultra High Voltage (UHV) transmission line in the present work Firstly, corona discharges have been investigated by means of ultraviolet imager (UVI) observation which indicates improper corona structure and installation. Next, E-field distributions along composite insulator and on surface of corona ring have been computed and analyzed with three-dimensional FEM calculation model of UHV tangent tower on which hangs suspension and tension composite insulators in single-circuit transmission line using commercial software ANSYS. Finally, an objective function which can evaluate nonlinear relationship between maximum electric field strength and corona ring structure parameters has been established based on initial calculating results, On the other hand, pso algorithm also has been implemented using APDL language in ANSYS computing environment, then optimization of corona ring structure for UHV composite insulator can be converted to seek minimum value of objective function utilized programmed pso algorithm. The results show that the proposed optimization process can be conducted automatically and efficiently, moreover, the electric field strength along insulator and around corona rings after optimization is less than that before optimization, and the optimal rings improve electric field distribution along composite insulators.

关键词： Ultra High Voltage (UHV) Finite Element Method (FEM) pso algorithm corona ring optimiztion composite insulator

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Design of self-biased folded cascode CMOS op-amp using pso algorithm for low-power applications

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International Journal of Electronics Letters 2019年第1期7卷 85-94页

作者： Motlak, Hassan Jassim Mohammed, Mohammed Jasim Electrical Engineering Department University of Babylon Babil Iraq

Static power dissipation is one of the most important problems that impedes the progress of electronic circuits so it must be reduced. Complementary metal-oxide semiconductor (CMOS) op-amp using self-biased technique is designed and improved to be less consumption power. Moreover, particle swarm optimisation (pso) algorithm is used in this article to deal with Static power dissipation. The use of pso algorithm led to reduce static power dissipation of self-biased folded cascode CMOS op-amp from 0.86 to 0.485 mW keeping the efficiency of optimised op-amp. In addition, some of performance parameters are optimised too, such as voltage gain of operational amplifier (Av), unity gain bandwidth GB and reduction of the chip area. The PSPICE simulation results using 0.35 µm MIETECH CMOS technology shows that an open loop gain of the proposed CMOS op-amp of 82 dB based on pso algorithm, while it produces 79.53 dB without pso algorithm and unity gain bandwidth is increased to 8.8 MHz with pso compared with 6.72 MHz without pso algorithm. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： CMOS op-amp low-power op-amp Operational amplifier pso algorithm self-biased technique

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Evolving Interest Based User Groups Using pso algorithm 4

Evolving Interest Based User Groups Using PSO algorithm

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International Conference on Recent Trends in Information Technology

作者： Ganesan, Sumathi Sivaneri, Arul Isai Udhaya Selvaraju, SendhilKumar Anna Univ CEG Dept IST Chennai Tamil Nadu India

ISBN: (纸本)9781479949892

Any Web site may have the continuous improvement based on the getting information of the users' needs. There is a step to achieve it by the collection of users' search data and analysis of those data. The swarm intelligence technique of Particle Swarm Optimization(pso) is applied for evolving similar user groups. pso is important to identify the web users' travels with the same interests. The data set comprises of web log files obtained by collecting the user logs during a six month period. The pso algorithm is attempted for user categorization. In web search, the users are grouped into different categories based on their similar travels. The grouping performance of the pso technique is compared with the techniques of DBSCAN and Kmeans.

关键词： Web Usage Mining ODP taxonomy Clustering pso algorithm

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Optimal Voltage Unbalance Compensation in a Microgrid Using pso algorithm 7

Optimal Voltage Unbalance Compensation in a Microgrid Using ...

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7th IEEE Power India International Conference (PIICON)

作者： Eilaghi, Sina Fazlollahzadeh Ahmadian, Ali Golkar, Masoud Aliakbar KN Toosi Univ Technol Fac Elect Engn Tehran Iran

ISBN: (纸本)9781467389624

distributed generations (DGs) make the microgrid active and more flexible. In addition of power demand supplying, the DGs can be used for improving power quality indices such as reducing voltage unbalance. However, for purposes of power quality improvement the microgrid controllers' coefficients should be adjusted optimally. Due to microgrid components accurate modeling, the controllers' adjustment is a complex problem that should be solved using an appropriate approach. The purpose of this paper is proposing particle swarm optimization (pso) algorithm so as to find the optimal coefficients of a PI controller for enhancing voltage unbalance factor (VUF) in a microgrid. The objective function is considered minimization of integral of absolute error index which is solved under technical constraints. The results of simulation indicate the robustness and success of the proposed algorythm.

关键词： voltage unbalance compensation microgrid pso algorithm distributed generations

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Time-optimal Trajectory Planning of Dulcimer Music Robot Based on pso algorithm 32

Time-optimal Trajectory Planning of Dulcimer Music Robot Bas...

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32nd Chinese Control And Decision Conference (CCDC)

作者： Zhang, Weimin Fu, Shixiong China Univ Geosci Sch Mech & Elect Informat Wuhan 430074 Peoples R China

ISBN: (纸本)9781728158556

For a dulcimer music robot that strikes a dulcimer, fast and high-frequency striking is a key requirement, so the time optimization of the trajectory planning of the robot arm is the first problem to be solved in motion control. In this paper, the kinematics modeling and solving are firstly completed by using the D-H parameter method. Then the steps of trajectory planning by interpolation and the application of basic pso algorithm are introduced. As for the deficiency of only velocity constraint, we propose an improve pso algorithm considering complete kinematic constraints of all joints, which can ensure that the optimal trajectory planned is reasonable. Finally, the simulation experiments of time optimization and trajectory planning are carried out in MATLAB. Experiments show that after optimizing the interpolation time by the improved pso algorithm under the kinematic constraints, the total time of trajectory planning of the robot is greatly reduced by 74.35%;and the planned time-optimal trajectory curves are continuous and smooth, which meets the requirements of motion stability of the manipulator. As a result, the efficiency of the improved pso algorithm applied to time-optimal trajectory planning of robot is verified.

关键词： Dulcimer Music Robot Time-optimal Trajectory Planning pso algorithm

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Amazons Evaluation Optimization Strategy Based on pso algorithm 31

Amazons Evaluation Optimization Strategy Based on PSO Algori...

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31st Chinese Control And Decision Conference (CCDC)

作者： Chai, Zenghao Fang, Zhiyuan Zhu, Jie Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China

ISBN: (纸本)9781728101057

Amazons is one of the complete information games. The win rate of searching algorithm based on game tree is closely related to the evaluation function. Accurate evaluation can not only greatly improve the win rate, but also improve the searching efficiency to some extent. Based on a variety of pruning optimization algorithms, pso algorithm is applied to Amazons. Combined with UCT algorithm, Amazons evaluation optimization strategy is proposed. The effectiveness and feasibility of the algorithm are validated by experiments, and ultimately the win rate and searching efficiency are effectively improved.

关键词： Computer Games Amazons Evaluation optimization UCT algorithm pso algorithm

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An Improved pso algorithm and Its Application on Model Identification of Coarse-stage in Lithography Machine 9

An Improved PSO Algorithm and Its Application on Model Ident...

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9th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI)

作者： Liu Yang Liu Fazhi Wei Kai Fu Zhenxian Harbin Inst Technol Dept Control Sci & Engn Harbin 150001 Peoples R China Harbin Inst Technol Ultra Precis Optoelect Instrumentat Engn Ctr Harbin 150001 Peoples R China

ISBN: (纸本)9781628415612

Lithography machine is a high-precision manufacturing equipment of electromechanical integration, involving precision machinery, precision control and measure, precision measurement and other subjects. pso algorithm is easy to fall into local optimum, which has simple concepts and fast convergence. This paper proposes an improved pso algorithm with adaptive parameters and boundary constraint, in ensuring accuracy of the algorithm optimization and fast convergence. Simulation results show that the methods have good applicability and stability for coarse-stage in lithpgraphy machine.

关键词： Lithography machine Model identification pso algorithm

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Wideband Quad-Ridged Flared Horn Feed Design and Optimization Based on pso algorithm 11

Wideband Quad-Ridged Flared Horn Feed Design and Optimizatio...

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11th UK-Europe-China Workshop on Millimetre-Waves and Terahertz Technologies (UCMMT)

作者： Sun, Zhijie Zhong, Weiye Cong, Liu Qin, Weiping Nanjing Univ Posts & Telecommun Nanjing 210003 Peoples R China Southeast Univ Nanjing 210096 Peoples R China Chinese Acad Sci Shanghai Astron Observ Shanghai 200030 Peoples R China Chinese Acad Sci Key Lab Radio Astron Nanjing 210008 Jiangsu Peoples R China

ISBN: (纸本)9781538674970

A high performance wideband quad-ridged flared horn (QRFH) feed has been designed which operates from 3.9 - 15.3 GHz. In order to find the balance between spillover efficiency and aperture efficiency to ensure the high sensitivity, spline-profiled ridges and horn have been optimized with the help of particle swarm optimization (pso) algorithm. Through computation and optimization, the average sensitivity of the QRFH is greater than 4.6 m(2)/K, the average aperture efficiency is more than 65% and the return losses of two port are greater than 14 dB within the working frequency band.

关键词： QRFH pso algorithm splines high sensitivity high aperture efficiency

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Cloud Data Migration Method Based On pso algorithm 14

Cloud Data Migration Method Based On PSO Algorithm

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International Symposium Distributed Computing and Applications Business Engineering and Science

作者： Geng Yushui Yuan Jiaheng Qilu Univ Technol Sch Informat Jinan Peoples R China

ISBN: (纸本)9781467365932

Cloud storage system can play an important role in large-scale, and it supports high-performance cloud applications. To cloud storage systems, data migration is key technology to realize the nodes dynamically extensible and elastic load balancing. How to reduce migration cost of time is the problem that cloud service providers need to solve. Existing research efforts were focused on the data migration issues under the non-virtualized environments, which often do not applicable to cloud storage systems. In response to these challenges, we put data migration issues into the loadbalancing scenarios to solve. We propose an algorithm based on particle swarm optimization algorithm which can reduces the cost of time. In the experiment, we can use Yahoo services benchmarking YCSB tool which could verify the validity of the method. It is a test framework designed to help users understand the different cloud computing, database performance.

关键词： Cloud data Data migration pso algorithm Load balance

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Research on the Application of pso algorithm in Non-linear Camera Calibration

Research on the Application of PSO Algorithm in Non-linear C...

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7th World Congress on Intelligent Control and Automation

作者： Wang, Dechao Tu, Yaqing Zhang, Tienan Logist Engn Univ Dept Informat Engn Chongqing 400016 Peoples R China

ISBN: (纸本)9781424421138

Camera calibration is an indispensable step for medical photogrammetry, augmented reality (AR) or image guided applications where quantitative information should be derived from the images. Non-linear optimization algorithms. are widely used in camera calibration in order to obtain precise intrinsic and extrinsic parameters of camera. Due to the traditional optimization algorithms have such problems as being prone to get into local extrema and being susceptive to initial value, in camera calibration. The applications of an improved pso algorithms used in non-linear camera calibration are studied and the calculation procedure of this method is provided in non-linear camera calibration. Calibration experiment shows that this method can overcome those defects and is an effective calibration method.

关键词： Camera calibration non-linear optimization pso algorithm

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