【作者】 黄卫；

【导师】 孙跃；

【作者基本信息】 重庆大学 ， 控制理论与控制工程， 2008， 硕士

【摘要】 非接触电能传输技术利用现代电力电子能量变换技术、磁场耦合技术,借助现代控制理论和手段实现能量从静止设备向可运动设备的感应电能传输,为了减小系统的体积、重量,采用了高频变换技术,为电工设备供电,是一种安全、可靠、灵活的电能接入技术。CPT(contactless power transfer)系统正常运行时,负载变化将会使系统工作频率将会发生飘移,偏离谐振频率范围,从而影响了系统鲁棒性,影响系统的正常运行,严重时会导致系统崩溃。通过对CPT系统负载识别算法的研究,可以根据识别结果及时调整控制量,使系统工作频率回到谐振频率的范围,提高系统的鲁棒性,从而使系统重新正常运行。本论文提出并研究了一种基于神经网络的CPT系统的负载识别算法,通过对负载的识别,改善因负载变化而引起的相关问题。论文介绍了非接触电能传输系统的工作原理、组成、各组成部分的功能,分析了因负载变化与负载频率和电能传输效率之间的变化关系;针对不同性质负载,采用不同的数学模型进行分析,得出了相应性质负载与原边导轨支路输出量和系统频率之间的关系式;介绍了快速傅立叶和神经网络的理论知识,并采用matlab对两种不同识别算法进行仿真结果,针对两种方法的识别结果作出了比较分析,结果表明基于神经网络的负载识别能较精确的识别出负载,达到预期的目的。更多还原

【Abstract】 Contactless Power Transfer (CPT) technology bases on magnetic coupling,and realizes by applying modern control theory deliver power from stationary source to movable loads. In order to minimize the volume and weight of the system. This system employs high-frequency converting technology and supplies power to loads. It’s a new way of power transmission which is safe, reliable and overcomes disadvantages of traditional power transfer methods.When CPT system is on the normal operation,the variation of load will cause the system operating frequency to occur drifts,and deviate resonance frequency scope. And thus it will cause the system robust variation,and affect the system’s normal operation. It will even cause the system to collapse in the serious case. After making the CPT system load recognition algorithm’s research,people realize that promptly adjusting the control quantity according to the recognition result,enables the system operating frequency to return to the resonance frequency scope , thus enhances system’s robustness,and has the system on the normal operation again.This paper has proposed and studied a study of load identify algorithm of contactless power transmission that bases on the neural network,through the load identifying,to improve the related issues caused by load changing.This paper introduces contactless power transmission system on principle、the functions of various components,analyzes the frequency shift and output power reduce caused by load changing. For different nature of loads,different mathematical models are adopted for analysis. The nature of load corresponding to the original trace slip-output and the relationship between the frequency; Introduction the fast Fourier and neural network theory and knowledge。Comparing the results of the two different theory by using Matlab and Pspice,the result shows that load identifying algorithm based on neural networks more precisely than that based on the fast Fourier transform,and it has achieved the expected results.更多还原