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1、AbstractWith the constant acceleration of domestic trainshigher requirements for security oftrain operation are put forward In the information transmission of the track circuit ofZPW-2000 series，the collaborative work of each part will enable the whole track circuit torun wellWitll compensation capa
2、citor as one of the indispensable component in the trackcircuit，it iS vital whether the compensation iS effective and accurateThe outer environmenthas all obvious impact on the compensation because compensation capacitor iS installedoutdoorsThe change of environment will affect the security of train
3、 operation by influencingthe performance of the track circuitThe configuration of compensation capacitor abides bydifferent methods according to different geographical，climatic and the work environmentT11e project aims at setting up different sizes of the compensation capacitors to differentcarrier
4、frequencies on certain railway lines with onehundredmeter intervalThe thesis comesup with one fuzzy model and improves and optimizes the configuration of the compensationcapacitorThe concrete procedures are as follows：(1)The research focuses on the relationship between the change of the compensation
5、capacitor configuration value of the frequencyshift track circuit and the optimum conditionfor train operation when the temperature and humidity changeThe input parameters areclassified in the fuzzy field partition and the relationship of the input and output of thecompensation capacitor configurati
6、on is ascertained(2)Taking the 1 700Hz and its corresponding 551xF compensation capacitor of ZPW-2000frequency shift track circuit as the focus object，the research introduces the working principlesof the system in detailBased on the nonlinear,mutual disturbance and coupling phenomenaof the change in
7、 temperature and humidity in the process of the compensation capacitor of thefrequencyshift track，this research studies the changing rules of the temperature and humidityin the process of the compensation capacitor of the frequencyshift track and the systemrequirements for the compensation capacitor
8、 configuration of the frequencyshift track circuitThe mathematical model for the fuzzy logic is then established；the fuzzy control model is setup through analysis；and the fuzzy controller is designed and the query of mzz)，control isformulated based on the fuzzy control technology(3)Taking the influe
9、nce of subjective factors on the output when selecting the fuzzymembership function parameters into consideration，the study adopts the global search ofgenetic algorithm to optimize the membership function parameters of the temperature andhumidity in the process of the compensation capacitor of the f
10、requencyshift track111e resultis compared and contrasted via simulating calculation(4)、Owing to the lack of self-learning ability in the fuzzy system，the study combines theII兰州交通大学硕士学位论文self-learning ability of the neural network、析tll the inferential capability of the fuzzy systemto construct the ne
11、uro-fuzzy network system and to optimize the control system of thecompensation capacitor configuration of the frequency-shift track circuit。The systemresult isthen analyzed via the simulationFinally,on the basis of summarizing the research procedures and analyzing the practicalapplication of the com
12、pensation capacitor configuration of the frequency-shift track circuit，suggestions for further intensive study are put forwardTaking the theoretical research and engineering practice into account，the researchachievements of this thesis is of great reference value for the practical application of the
13、compensation capacitor configuration of the frequency-shift track circuitKey Words：Fuzzy control，Compensation capacitor,Track circuit，Genetic algorithm，Neuro-fuzzy control基于模糊控制的移频轨道电路补偿电容配置研究目 录摘 要：IAbstractII目 录1绪论111选题背景和研究意义1111选题背景1112研究意义：312国内外研究现状313主要研究内容52智能算法相关理论621模糊控制622遗传算法723神经网络1 124智能控制算法的优缺点及融合1 4241智能控制算法的优缺点分析14242智能控制算法的融合1525小结153模糊控制模型的建立1631模型及算法设计1732仿真及结果分析2033小结234模糊控制模型的优化与改进2441遗传算法对模糊控制模型的优化25411遗传算法优化算法设计26412优化算法仿真29413结果分析3142神经网络对模糊控制模型的改进31421神经网络改进算法设计3 1422改进算法仿真37423结果分析
