Real-Time Detecting And Processing Of Tilting Control Signal Of Tilting Train

The research of tilting train in our country has been in the stage of practicality. As one part of the project, the hardware configuration of testing system and software algorithms are very important. The main content of this paper is about sensors' type-selection in testing system, the sensors' fault-detection and fault-tolerance, and the correlative signal processing algorithms, providing the control system with accurate and reliable uncompensated signal and filtering-delay-compensation signal.Based on a great deal of testing-on-line data of tilting train, the performance of sensors is analyzed, and the direction of sensors' type-selection and the sensors' improvement are put forward. The sensors' fault-detection and fault-torlerance algorithms are studied, so do the three variance-caculating methods for sensors' fault-detection, and the fault-tolerance algorithms of parallel connection system and 2/3(G) vote system for hardware redundancy. All the derivation and realization processes of these algorithms are discussed in detail. A lot of classical LPFs are designed for the filtering of acceleration signal, then the direction of filters' optimization is put forward in terms of the performance analysis of the filters and the filtering results. Two adaptive filtering algorithms based on gratitude search are also discussed. The principles of filtering, wavelet-denoise and integral algorithms to pick up the tilting pulse (filtering-delay-compensation signal) are discussed. Especially, a "high-in & low-out" method is presented to determine the thresholds in the three algorithms; it is very robust and adaptable. In the end, the performance of the three algorithms is compared to each other based on the process of total data of one test-on-line.All the algorithms presented in this paper are simulated through the data gained in the test-on-line. The C program to realize the optimal algorithms can be easily transferred to DSP system, it performs well in the DSP system designed for tilting train, and it has also passed the preliminary test in the test on line.