Study On Adhension Control Of High Speed EMU Based On Fuzzy Approximate Entropy

As a new mode of transportation,high-speed railway plays an important role in the process of rapid economic and social development.China is the country with the longest operation mileage,the highest operation speed,the fastest development speed and the most complete system technology of high-speed railway technology in the world.With the rapid development of high-speed railway technology in China,the technology of high-speed EMU has also made considerable progress.In order to be able to adapt to the operation environment and conditions of high-speed railway,meet the requirements of more complex,long distance,long time and high-speed operation,and realize the national strategy of " China's high-speed trains go global" under the concept of " the Belt and Road initiative ",the research of high-speed EMU technology is of great significance.When high-speed EMU runs at high speed,the adhesion condition becomes worse,the adhesion coefficient decreases,and it is prone to slip and slide.It is important to study the adhesion control technology of high-speed EMU for improving the safety,comfort and rapidity of high-speed EMU.Based on summarizing the traditional slip and slide recognition methods and adhesion control methods,this paper proposes an adhesion control method based on fuzzy approximate entropy(Fuzzy Entropy),which provides a guarantee for the realization of slip slide recognition and adhesion control of high-speed EMU.Firstly,three typical data sets are used to analyze and compare the performance of three kinds of entropy algorithm in measuring signal complexity.The continuity and relative consistency of the three algorithms are analyzed by three periodic sinusoidal regular signals with different frequencies.The freedom of parameter selection and the dependence on data length of the three algorithms are analyzed by using two MIX mixed models irregular random signals.The anti-noise ability of the three algorithms is analyzed through the four chaotic sequences irregular signal of the insect population model(a logistic growth model).The comparison of the performance of the algorithm provides a basis for the application of Fuzzy Entropy.Secondly,a recognition method for slip and slide of high-speed EMU based on FuzzyEn is proposed.According to the off-line data of CRH5 high-speed EMU test,the wheel speed signal of EMU wheelset is taken as a time series signal,and the FuzzyEn of wheel speed is calculated by the maximum overlap method.When slip and slide occur,the wheel speed changes rapidly,and the corresponding FuzzyEn will change abruptly to judge whether the EMU is slipping or sliding.Then,a new adhesion control method for high-speed EMU is proposed,which is based on FuzzyEn recognition of slip and slide combined with the traditional combined control method.The identification module of slip and slide based on the FuzzyEn algorithm combines the wheel acceleration and differential of wheel acceleration parameters of the traditional combined control method,avoids the delay of speed difference slip and slide identification method and the misjudgement of acceleration and differentiation of acceleration method,effectively identifies slip and slide state of high-speed EMU,and restrains slip and slide by adjusting the output torque of traction motor,so as to realize the re-adhesion control of high-speed EMU.Finally,a simulation model of adhesion control for CRH5 high-speed EMU based on FuzzyEn recognition of slip and slide combined with the traditional combined control method is designed.Through the simulation model,the simulation verifies the effectiveness of the adhesion control method under different road conditions,traction and braking conditions,and makes a comparative analysis with the traditional adhesion control method-combination control method.