基于决策树算法的AMT挂挡过程冗余控制研究

In order to improve redundant control of the AMT system gear shifting process, considering the failure condition of the gear shifting displacement sensor, a redundant control strategy was proposed based on decision tree algorithm. The air pressure p, the transmission input shaft speed n₁, the transmission output shaft speed n₂ and the synchronous speed difference of the synchronizer Δn were selected as the characteristic variables, and the gear shifting time was selected as the predicted value to establish a gear shifting time decision tree prediction model. To obtain an optimal decision tree model, a cross-validation and the original decision tree pruning were arranged. The results show that the prediction accuracy rate of the gear shifting time can reach up to 90% with the error less than 50 ms. The bench test and actual vehicle verification results show that, when the gear shifting sensor fails, the solenoid valve control strategy based on this algorithm can ensure the normal shifting operation. Comparing the actual transmission ratio with the theoretical transmission ratio predicted by the control strategy, the operation results show that the judgment error of the predicted shifting time is all within 50 ms.