本文關鍵詞： 粘著控制 空轉預測 希爾伯特黃變換 聯(lián)合仿真 FPGA 分布式DA算法　出處：《西南交通大學》2014年碩士論文　論文類型：學位論文

【摘要】：隨著我國國民經濟的快速發(fā)展,為了帶動區(qū)域經濟的騰飛,高速、重載機車仍然并將更大地承擔起這一輝煌任務。電力機車的運行,依賴于輪軌間的粘著力,有效利用粘著力,一方面能提高機車牽引效率、發(fā)揮電機功率,另一方面則能提升機車運行時的安全性和舒適性。粘著控制裝置,正是針對這一問題所研發(fā)的調節(jié)保護裝置。粘著控制的研究中,傳感器測量的速度、轉矩信號是一系列分析計算的基礎。而往往這些數據中,會夾雜很多無關干擾、噪聲等,為分析帶來不便。 本文對于空轉識別部分,采用希爾伯特黃變換方法,以機車在空轉時發(fā)生自激振動為理論依據,并從時頻能量角度著眼,選取特定頻率段、考察能量積聚的百分比,結合既有方法,共同預測空轉發(fā)生的可能,從而實現(xiàn)提前判斷。 針對噪聲干擾的問題,本文從機車實際運行角度出發(fā),在分析過機車速度數據后,提出一種適用于實驗的濾波方法,之后再利用MATLAB所提供的工具箱可以快速便捷地設計、修改滿足特定性能的濾波器,設計好參數之后通過軟件配置,與FPGA平臺的Modelsim軟件進行聯(lián)合仿真,自動生成所需系數和定點化代碼。 在上述環(huán)節(jié)得到濾波器系數并定點化之后,再利用串行分布式DA算法,將FPGA平臺設計濾波器時相對困難的乘累加運算環(huán)節(jié),轉化為具有FPGA特點的查找表運算,在不損失速度的前提下大幅降低了芯片資源消耗,同時也降低了編程難度。仿真結果表明,所設計的濾波器性能與MATLAB平臺所得到的預期基本一致,從而完善了整套數據處理方法的流程。 本文對希爾伯特黃變換在空轉識別中的應用,以及數據處理方法在FPGA平臺的嘗試,是對后續(xù)粘著控制裝置改進的有力探索,為后續(xù)相關研究打下了基礎。
[Abstract]:With the rapid development of our national economy, in order to drive the regional economy to take off, high-speed, heavy-haul locomotives will still undertake this brilliant task. The operation of electric locomotives depends on the adhesion between wheel and rail. On the one hand, it can improve the traction efficiency and motor power, on the other hand, it can improve the safety and comfort of locomotive operation. In the research of adhesive control, the speed and torque signal measured by sensor is the basis of a series of analysis and calculation. Will be mixed with a lot of irrelevant interference, noise and so on, causing inconvenience to the analysis. In this paper, the method of Hilbert-Huang transform is used for idling identification, based on the theory of self-excited vibration of locomotive during idling, and from the angle of time-frequency energy, the specific frequency section is selected. Considering the percentage of energy accumulation and combining the existing methods, we can predict the possibility of idling together and realize the judgment in advance. Aiming at the problem of noise interference, this paper puts forward a filtering method suitable for experiment after analyzing the speed data of locomotive from the point of view of actual operation of locomotive. Then the toolbox provided by MATLAB can be quickly and conveniently designed, the filter that meets the specific performance can be modified, and the parameters can be configured by software. Combined simulation with Modelsim software of FPGA platform to automatically generate the required coefficients and fixed-point codes. After the filter coefficients are obtained and fixed, then the FPGA platform is designed by using the serial distributed DA algorithm, which is relatively difficult to multiply and accumulate the filter. The conversion to lookup table operation with FPGA features reduces the chip resource consumption and the programming difficulty without losing the speed. The simulation results show that. The performance of the designed filter is basically consistent with the expectation of the MATLAB platform, which improves the flow of the whole data processing method. In this paper, the application of Hilbert-Huang transform in idling recognition, and the attempt of data processing method in FPGA platform, is a powerful exploration to improve the subsequent adhesion control device. It lays a foundation for the following related research.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U211.5;U260.3

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