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Journal of Simulation JOURNAL OF SIMULATION VOLUME 5 NUMBER 2, May 2017 Publisher: ACADEMIC PUBLISHING HOUSE Address: Quastisky Building, Road Town, Tortola, British Virgin Islands UK Postal Code: VG1110 Editor-in-Chief Prof. Dr. Wei Zhao IEEE Fellow Director of Computer and Network Systems Division, National Science Foundation, USA Department of Computer Science, Texas A&M University, USA Prof. Dr. José M. García Department of Computer Engineering, School of Computer Science, University of Murcia, Spain Editorial Board Dr. Damminda Alahakoon Clayton School of Information Technology, Faculty of Information Technology, Monash University, Australia Prof. Dr. Mokhtar Beldjehem Department of Computer Science and Software Engineering, Sainte-Anne's University, Canada Prof. Dr. Meledath Damodaran School of Arts & Science, University of Houston-Victoria, USA Prof. Dr. Subramaniam Ganesan Electrical and Computer Engineering Department, Oakland University, USA Prof. Dr. Julia Johnson Dept. of Math & Computer Science, Laurentian University, Canada Dr. Sotiris Kotsiantis ESDLab, Department of Mathematics, University of Patras, Greece Dr. Bjorn Gustaf Landfeldt School of Information Technologies, F09, University of Sydney, Australia Prof. Dr. Soo-Young Lee Dept. of Electrical and Computer Engineering, Auburn University, USA Dr. Aniket Mahanti Department of Computer Science, University of Auckland, New Zealand Dr. Bappaditya Mandal Institute for Infocomm Research, Singapore Dr. Tshilidzi Marwala School of Electrical and Information Engineering, University of the Witwatersrand, South Africa Prof. Dr. Jacob Savir IEEE Fellow, Distinguished Professor, Department of Electrical and Computer Engineering, University Heights Newark, USA Dr Jasni Mohamad Zain Faculty of Computer Systems & Software Engineering, University of Malaysia ,Malaysia E-mail: [email protected] www.journalofsimulation.com CONTENTS EFFICIENCY OPTIMAL OF IPT SYSTEM WITH THE GENETIC ALGORITHMS Jikun Zhou, Rong Zhang 1 APPLICATION OF WIRELESS SENSOR NETWORK IN SMART HOME SECURITY Lu Zhang, Yuan Zhang 5 DECOUPLING CONTROL FOR UNDERACTUATED SHIPS’ TRAJECTORY TRACKING Yong Liu, Da-ming Sun and Hai-jun Xu 9 THE SPECIAL METHOD FOR THE INTERFACIAL STRENGTH IMPROVEMENT OF SMA COMPOSITE WITH ZNO Xuan Gu, Xiaoyu Sun, Zheng He, Li-Dan Xu, Ju Liu, Bin-Sheng Wang 15 UNCONDITIONALLY STABLE CURRENT DENSITY CONVOLUTION CRANK–NICOLSON FINITE-DIFFERENCE TIME-DOMAIN IMPLEMENTATION FOR ANISOTROPIC MAGNETIZED PLASMA Jianxiong Li, Yongjia Zhuang 19 THE IMPACT OF PUBLISHING INDUSTRY ON THE SUPPLY OF APPLICATION-ORIENTATED UNDERGRADUATE TEXTBOOKS Li Zhou 23 THE INTERNALIZATION ADVANTAGE, INFRASTRUCTURE CONSTRUCTION AND FOREIGN DIRECT INVESTMENT Yingying Liang, Luyu Liu, Zhuoran Bai 27 THE FORECAST MODEL OF THE TOTAL POPULATION IN CHINA BASED ON GENETIC NEURAL NETWORK Ning Wang, Xijie Zang 31 STUDY ON RANGE-FREE NODE LOCALIZATION ALGORITHM OF INTERNET OF VEHICLES Jianyu Wang, Xiaojun Liu 35 ADAPTING TO THE CULTIVATION OF TOP-NOTCH INNOVATIVE TALENTS AND EXPLORING THE TEACHING MODE OF ARTISTIC DESIGN CREATIVE MARKET Zhenhua Li, Cheng Li 41 MECHANICAL PROPERTIES OF STRESSES FOR PRESTRAINED EMBEDDED SHAPE MEMORY WIRES Xiaoyu Sun, Xuan Gu, Zheng He, Li-Dan Xu, Ju Liu and Bin-Sheng Wang 45 SIMULATION OF THE APPLICATION-BASED DESIGN ON THE HARMONIC ANALYSIS AND ONTROL IN BAR PLANT Fanjie Wei 49 THE ROAD MAP OF ENTREPRENEURSHIP EDUCATION RESEARCH IN HIGHER VOCATIONAL COLLEGES SINCE REFORM AND OPENING UP Hongxing Shi 55 RESEARCH ON EVOLUTION MECHANISM OF CONSUMERS’ IMPLICIT DEMAND BASED ON SOCIAL COMMERCE MODEL Dongping Tang, Cuiying Cai 59 STUDY ON RANGE-BASED NODE LOCALIZATION METHOD OF INTERNET OF VEHICLES Xiaojun Liu, Jianyu Wang 67 THE RESEARCH ON THE PATH OF POVERTY ALLEVIATION OF E-COMMERCE: A CASE STUDY OF JING DONG Xue Xiong, Fengying Nie, Jieying Bi, Muhammad Waqar 73 ADVANTAGES, DEVELOPMENT BOTTLENECK AND SUGGESTIONS OF E-COMMERCE POVERTY ALLEVIATION--- CASE ANALYSIS OF UNDP, ADB, JD AND TENCENT Ruixi Dai, Jieying Bi and Fengying Nie 81 THE APPLICATION OF VARIOUS TEACHING METHODS IN THE TEACHING OF FINANCIAL ENGINEERING Tao Song 89 SIMULATION ANALYSIS OF ELECTROMAGNETIC SHIELDING EFFECTIVENESS IN VENTILATION WINDOW OF WAVEGUIDE Peng Huang, Zhiguo Liu, Jiancheng Qi 93 AN INTERNATIONAL COMPARATIVE STUDY ON CORPORATE ANNUITY SYSTEM Yang Yu 99 MEAN-SQUARE STABILITY CONTROL FOR NETWORKED SYSTEMS WITH STOCHASTIC TIME DELAY Hejun Yao, Fushun Yuan 103 RESEARCH ON THE STRATEGY OF CORPORATE RESTRUCTURING AND CORPORATE CULTURE INTEGRATION Xiaojun LU 109 STUDY ON THE PATENT RESEARCH AND DEVELOPMENT IN CHINESE PHARMACEUTICAL INDUSTRY Yajie Li, Yanan Shao 117 STUDY ON INFLUENCE FACTORS OF FREIGHT TON-KILOMETERS—BASED ON DATA ANALYSIS OF QUANTILE REGRESSION Keming Wang, Yezi Mo, Xueying Chen, Yilin Wei and Gang Wang 121 THE APPLICATION OF PROCESS CAPABILITY INDEX IN IMPROVING SERVICE QUALITY Rongfei Xu 127 THE INNOVATION RESEARCH OF SCIENTIFIC TALENT CULTIVATING MECHANISM AND SCIENTIFIC RESEARCH EVALUATION SYSTEM Wusheng Tang, Tiantian Xu, Zhanguo Li 131 A COMPARATIVE ANALYSIS OF CHINA AND AMERICAN CORPORATE OVERSEAS VIDEO ON THE BASIS OF HALL’S MODEL AND MULTIMODAL DISCOURSE ANALYSIS-----TAKEN THE SONG AND DREAM IT POSSIBLE AS EXAMPLES Mengqi Zhang 135 JOURNAL OF SIMULATION, VOL. 5, NO. 2, May 2017 1 Efficiency Optimal of IPT System with the Genetic Algorithms Zhou Jikun* Institute of systems engineering, China academy engineering of physics, Mianyang, China [email protected] Zhang Rong Institute of systems engineering, China academy engineering of physics, Mianyang, China [email protected] Abstract—Aim at maximum the power transfer for gap variations are studied for different topology IPT Inductive power transfer (IPT) system, efficiency analysis systems [11]. and optimal of IPT with genetic algorithms (GA) were However, the operating frequency effect is not presented. Before the GA optimization process, the IPT considered. The reference [12] designs the IPT system by system was compensated in a resonance condition to using an optimization algorithm. But the algorithm minimize the VA rating of the power supply and achieve maximum power transfer. In the process of GA ignores the effect of coupling coefficient. Reference [13] optimization, to ensure the final solutions achieving analyzed all the parameters that influence the efficiency bifurcation-free operation, the solutions that generate and presented an optimal algorithms design method, bifurcation phenomenon (multi zero phase angle frequency) however, the algorithms cannot ensure to find out the was excluded. The simulation results verify that the GA can most optimal solution and the bifurcation phenomenon find the best optimal solutions for all topology IPT systems. ignored. In this paper, the GA is selected to efficiency optimal Index Terms—IPT System, Efficiency Optimal, Genetic design of the IPT system undertakes the resonance Algorithms conditions. In the process of the GA optimization, the solutions that generate bifurcation phenomenon are I. INTRODUCTION excluded. The simulation verifies that the GA can find Inductive power Transfer (IPT) has been used in many the best optimal solutions for all base topology IPT commercial and industrial applications due to its ability systems. to transfer electrical power without and physical contact [1-2]. The IPT system includes two independent mutually II. EFFICIENCY ANALYSES OF BASE IPT SYSTEMS coupled part called primary and secondary respectively With different compensation, there are four basic [4]. The primary part generates an essentially current ip topology IPT systems that called SS, SP, PP, and PS are in the primary coil L with a resonant high frequency p shown in Fig.2, where the first S or P stands for series or switching power supply. The primary compensation is parallel LC compensation of primary resonance and the used to minimize the VA rating of the supply. On the second S or P stands for series or parallel LC secondary part, compensation is also required to enhance compensation of secondary resonance. The inductor L the power transfer. A switched mode controller is p and Ls represent the primary and secondary coil normally used to control the power flow from the respectively. The resistance R represents the load on the secondary coil Ls to the load. secondary, while the resistance R and Rs represent the Because of large air gaps via magnetic coupling, the p self resistance of L and Ls respectively. efficiency is a signification target that must be considered p The voltage Vin is the output voltage of the converter. when design of the IPT systems [6,7]. However, the The impedance of the secondary Z whose value depends systems’ efficiency is determined by not only one s on the secondary compensation as given by parameter, such as air gap, operating frequency, coupling coefficient and so on, which makes the efficiency optimal 1 j LsL R parallel secondary design difficult [9,10]. To date, some analysis and jC s Zs (1) optimal have been undertake. The effects of load and air 1 jL seris secondary s j CsL1/ R © ACADEMIC PUBLISHING HOUSE 2 JOURNAL OF SIMULATION, VOL. 5, NO. 2, May 2017 Ip Is Ip Is I2 I2 Cp Cs Cp Vin Lp Ls R Vin Lp Ls Cs R Rp Rs Rp Rs M M (a) SS (b) SP I Is Ip Is p I I2 2 Cs Vin C Lp L C R Vin Cp Lp Ls R p s s R Rs Rp Rs p M M (c) PS (d) PP Figure.2 Four basic topologies of IPT system The reflected impedance Zp is dependent on the R (4) transformer coupling and operating frequency, which is s RRR() given by (RR )(1ps ) s M 2 22M 0 Z p (2) R (5) Z p 2 s RRRR2 RR R RRL ss ps () 22 To achieve maximum power transfer, The capacitor Cs ss2 2 2 2 2 20 2 0LMMLss 0 0 0 is chosen to compensate the large leakage inductances of Where the secondary coil Ls to achieve resonance conditions. M22 k L L (6) Where, ω0 is the inherent frequency of the secondary part. ps 1 Where k is coupling coefficient and subsistent (6) into Cs 2 (3) (4) and (5), the systems efficiency can be given by 0 Ls 22 R0 k Lps L The capacitor Cp is chosen to cancel the reactive part s 22 (7) of the circuit seen by the source, to achieve maximum (R Rs )(0 k L p L s R p R s R p R ) power transfer with minimum VA rating of the supply.
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