In order to diagnose the starting fail fault of the certain turbo shaft engine which often occurs in daily use, the experiments for the micro pump and the fuel filter were carried out by the method of contrast test. Through the comparison and analysis, the differences between domestic components and French-made ones were found. The results showed that: The outlet pressure of domestic micro pump is smaller under the engine's working condition; the flux of it is significantly lower under high outlet pressure; the pressure-flux characteristic line of domestic micro pump can close to the French-made pump when the French-made fuel valve and regulating valve were installed on it; the structure size of domestic filter frame is very different from the French-made one, which leads to its greater flow resistance. According to the performance indicators of French-made components, the improvement measures were put forward in order to improve the success rate of engine ground starting.

No abstract

Considering the larger modeling errors between the turbo-shaft engine and on-board model, the model correction method based on least squares support vector regression is proposed. Firstly, the modeling principle of on-board turbo-shaft engine model is introduced, and then the structure of model combined with a compensation module is designed. The algorithm of LSSVR is used to build up the model compensation module, which is trained off-line and corrected on-line. Simulation studies on turbo-shaft engine have shown that the LS-SVM method can effectively reduce the model errors, and comparison with the interpolation correction, neural network one, the method proposed has better precision.