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为提高在汽油机控制策略中的转矩估计的实时性和精度,设计了一种汽油机转矩预测模型。该模型使用了以Sigmoid为核函数的ARX算法,并利用赤池(Akaike)最终预测误差法(FPE)和标准均方根误差法,辨识实验测量的节气门开度和转速数据,以此来估计模型参数。利用该转矩模型,设计了一种模型预测控制器(MPC),并进行了验证试验。结果表明:在全工况范围内,该转矩模型的预测相对误差小于4.5%;控制超调量约为6%,能达到3 s内输出预期转矩150 Nm。因而,控制效果良好,实现了汽油机转矩的精确控制。
To improve the real-time performance and accuracy of torque estimation in gasoline engine control strategy, a gasoline engine torque prediction model is designed. The model uses the ARX algorithm with Sigmoid as a kernel function and uses the Akaike final prediction error method (FPE) and the standard root-mean-square error method to estimate the experimental throttle opening and rotational speed data to estimate Model parameters. Using this torque model, a model predictive controller (MPC) is designed and verified. The results show that the relative error of the torque model is less than 4.5% and the overshoot of control is about 6% under the condition of full load, which can achieve the expected output torque of 150 Nm within 3 s. Therefore, the control effect is good, and the precise control of the gasoline engine torque is realized.