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Study On The Influence Of Nonlinear Structural Factors On Electromagnetic Performance Of Transmitting Antennas For Microwave Power Transmission

Posted on:2023-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhangFull Text:PDF
GTID:2532306911482834Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
High power continuous microwave wireless energy transmission technology has been paid more and more attention by academia and industry.Its theory and key technologies have become a research hotspot.Transmitting antenna in energy transmission link plays a decisive role.Therefore,in this thesis,the influence of nonlinear structural factors on the electromagnetic performance of air microstrip array transmitting antenna is taken as the main direction,based on the theory of electromechanical coupling of array antenna,for highpower microwave transmitting antenna,the nonlinear structural factors affecting its electromagnetic performance are clarified,and its mathematical characterization and comprehensive model are established.Finally,the experiments and analysis of the air microstrip active array transmitting antenna for Space Solar Power Station(SSPS)are carried out.The main work is as follows:1.The mathematical representation between device performance error and manufacturing and assembly error and antenna excitation amplitude and phase,as well as the digital characteristic correlation model between the latter and random quantity of antenna radiation performance,are established.In order to evaluate the antenna performance accurately in the design stage,the correlation between the errors of active and passive devices and the random quantity of antenna radiation performance is quantitatively derived.The errors of the feed link of the transmitting antenna are analyzed and classified according to the importance.The mathematical representation model of the random errors,including the length error of the RF cable,the phase quantization error of the phase shifter,the inconsistent output error of the power amplifier and the correlation model with the electrical performance of the antenna,is established.The model is compared with the standard Monte Carlo method to verify the correctness of the proposed model.2.The mathematical representation between the structural random error caused by the manufacturing and assembling process of array antenna and the random quantity of antenna radiation performance is established.The antenna structure manufacturing and assembly errors were analyzed,which are divided into three parts: basic mechanism,array frame and antenna element.The error distribution of each part was determined,and the precision transfer model of array antenna surface was constructed,and the effect result of the precision transfer model was equivalent to the random error of array element pose.Multivariate normal distribution is used to characterize the random error of array element pose,and the electromechanical coupling model of array antenna with random error of mechanical structure is established.The results are compared with the standard Monte Carlo method and the correctness of the proposed model is verified.3.A strategy and method for location and diagnosis of array antenna element failure based on far-field radiation power is proposed.Firstly,the effects of different types of radiation unit failures on the radiation performance of the antenna were analyzed,and the quantum particle swarm optimization(QPSO)algorithm was selected for diagnosis.Taking different excitation conditions as design variables,the objective function was to minimize the absolute value difference between the weighted sampling point power value and the measured power value,and a nonlinear programming model was formed.According to the characteristics of the model,the discrete design variables are continuously processed and the accurate solution results are obtained.
Keywords/Search Tags:Antenna arrays, Electromechanical coupling, Structural factors, Random error, Feeder link, Microwave wireless power transmission
PDF Full Text Request
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