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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Research on Integrated Control Method for Helicopter/Turboshaft Engine with Variable Rotor Speed Based on the Error Between Engine Required and Real Output Torque
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Research on Integrated Control Method for Helicopter/Turboshaft Engine with Variable Rotor Speed Based on the Error Between Engine Required and Real Output Torque

机译：基于发动机所需误差和实际输出扭矩的误差，具有变速器速度的直升机/涡轮轴发动机综合控制方法研究

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摘要

In order to achieve more rapid response control for integrated helicopter/turboshaft engine system with variable rotor speed, an integrated control method based on the error feedforward between engine required and real output torque is proposed. Firstly, based on the principle of incremental nonlinear dynamic inversion, an online acceleration estimation method of gas turbine speed (N_(gdot)) is proposed to realize the cascade control for turboshaft engine based on N_(gdot). Then, a rotor demanded torque predicted model is developed through min-batch gradient descent-neural network. Meanwhile, a feedforward compensation method based on the error between engine required and real output torque is proposed according to the rotor dynamics characteristics of engine output shaft with variable rotor speed to suppress the interference of the rotor demanded power during variable rotor speed. The simulation results show that under different flight conditions, compared with the collective pitch feedforward and the rotor predicted torque feedforward control, the feedforward control method based on the error between engine required and real output torque can effectively reduce the overshoot of the relative speed of power turbine by about 14%. In addition, the settling time of power turbine speed is shorter, and the dynamic performance is superior, which can realize the rapid response control of turboshaft engine better.
机译：为了实现具有可变转子速度的集成直升机/涡轮轴发动机系统的更多快速响应控制，提出了一种基于所需和实际输出扭矩之间的误差前馈的集成控制方法。首先，基于增量非线性动态反转的原理，提出了一种燃气涡轮机速度的在线加速度估计方法（N_（GDOT）），以实现基于N_（GDOT）的涡轮轴发动机的级联控制。然后，通过最小批量梯度下降 - 神经网络开发转子要求的扭矩预测模型。同时，根据具有可变转子速度的发动机输出轴的转子动力学特性提出了一种基于所需的发动机和实际输出扭矩之间的误差的前馈补偿方法，以抑制可变转子速度期间转子所需功率的干扰。仿真结果表明，在不同的飞行条件下，与集体间距前馈和转子预测扭矩前馈控制相比，基于所需发动机之间的误差和实际输出扭矩之间的前馈控制方法可以有效地减少电力相对速度的过冲涡轮机约14％。此外，动力涡轮速度的稳定时间较短，动态性能优越，可以更好地实现涡轮轴发动机的快速响应控制。

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