首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Modelling, control, and hardware-in-the-loop simulation of an automated manual transmission
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Modelling, control, and hardware-in-the-loop simulation of an automated manual transmission

机译:自动变速箱的建模,控制和在环仿真

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摘要

To enable a realistic automated manual transmission (AMT) system performance evaluation and rapid prototyping, this paper focuses on constructing a practical Simulink model and a hardware-in-the-loop (HIL) real-time simulation. The working principle and dynamic characteristics of the AMT system are first explored. The driveline, the engine control, and the dry clutch are modelled and analysed. In particular, a dynamic model for the hydraulic clutch actuator that is currently used in the actual transmissions is developed. To evaluate the performance and operation characteristics of the AMT system, the control methodology to ensure desirable performance is studied. The gearshift control logic and the proportional-integral-derivative-based clutch control are analysed and implemented. Based on the dynamic model and the controller, a Simulink model is developed and implemented into an HIL realtime simulator to enable rapid prototyping. In addition, to realize an energy-efficient and smooth clutch engagement, the possibility of using the dynamic programming method to generate the optimal clutch and engine torque control inputs is investigated as well. In particular, the controllability of the AMT system is studied to determine the number of control inputs necessary for optimal control. To this end, the simulation and experiment results in the HIL environment are presented.
机译:为了实现现实的自动手动变速器(AMT)系统性能评估和快速原型制作,本文着重于构建实用的Simulink模型和硬件在环(HIL)实时仿真。首先探讨了AMT系统的工作原理和动态特性。对传动系统,发动机控制系统和干式离合器进行建模和分析。特别地,开发了当前在实际变速器中使用的液压离合器致动器的动态模型。为了评估AMT系统的性能和运行特性,研究了确保理想性能的控制方法。分析并实现了变速控制逻辑和基于比例积分微分的离合器控制。基于动态模型和控制器,Simulink模型得以开发并实现到HIL实时仿真器中,以实现快速原型制作。此外,为了实现高效节能和平稳的离合器接合,还研究了使用动态编程方法生成最佳离合器和发动机扭矩控制输入的可能性。特别是,研究了AMT系统的可控制性,以确定最佳控制所需的控制输入数量。为此,给出了HIL环境下的仿真和实验结果。

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