Research On Compensation Capacitor Configuration Of Frequency Shift Track Circuit Based On Fuzzy Control

With the constant acceleration of domestic trains, higher requirements for security oftrain operation are put forward In the information transmission of the track circuit ofZPW-2000series, the collaborative work of each part will enable the whole track circuit torun well. With compensation capacitor as one of the indispensable component in the trackcircuit, it is vital whether the compensation is effective and accurate. The outer environmenthas an obvious impact on the compensation because compensation capacitor is installedoutdoors. The change of environment will affect the security of train operation by influencingthe performance of the track circuit. The configuration of compensation capacitor abides bydifferent methods according to different geographical, climatic and the work environment.The project aims at setting up different sizes of the compensation capacitors to differentcarrier frequencies on certain railway lines with one-hundred-meter interval. The thesis comesup with one fuzzy model and improves and optimizes the configuration of the compensationcapacitor. The concrete procedures are as follows:(1) The research focuses on the relationship between the change of the compensationcapacitor configuration value of the frequency-shift track circuit and the optimum conditionfor train operation when the temperature and humidity change. The input parameters areclassified in the fuzzy field partition and the relationship of the input and output of thecompensation capacitor configuration is ascertained.(2) Taking the1700Hz and its corresponding55μF compensation capacitor of ZPW-2000frequency shift track circuit as the focus object, the research introduces the working principlesof the system in detail. Based on the nonlinear, mutual disturbance and coupling phenomenaof the change in temperature and humidity in the process of the compensation capacitor of thefrequency-shift track, this research studies the changing rules of the temperature and humidityin the process of the compensation capacitor of the frequency-shift track and the systemrequirements for the compensation capacitor configuration of the frequency-shift track circuit.The 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 fuzzy control isformulated based on the fuzzy control technology.(3) Taking the influence 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 frequency-shift track. The resultis compared and contrasted via simulating calculation.(4) Owing to the lack of self-learning ability in the fuzzy system, the study combines the self-learning ability of the neural network with the inferential capability of the fuzzy systemto construct the neuro-fuzzy network system and to optimize the control system of thecompensation capacitor configuration of the frequency-shift track circuit. The system result isthen analyzed via the simulation.Finally, on the basis of summarizing the research procedures and analyzing the practicalapplication of the compensation capacitor configuration of the frequency-shift track circuit,suggestions for further intensive study are put forward.Taking the theoretical research and engineering practice into account, the researchachievements of this thesis is of great reference value for the practical application of thecompensation capacitor configuration of the frequency-shift track circuit.