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Adaptive compensation control of vehicle automatic transmissions for smooth shift transients based on intelligent supervisor

机译:基于智能监控器的车辆自动变速器平滑换挡瞬态自适应补偿控制

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摘要

In this paper, an advanced shift controller that supervises the shift transients with adaptive compensation is presented. Modern shift control systems for vehicle automatic transmission are designed to provide smooth transients for passengers comfort and better component durability. In the conventional methods, lots of testing and calibration works have been done to tune gains of the controller, but it does not assure optimum shift quality at all times owing to system variations often caused by uncertainties in shifting hydraulic systems and external disturbances. In the proposed control scheme, an adaptive compensation controller with intelligent supervisor is implemented to achieve improved shift quality over the system variations. The control input pattern which generates clutch pressure commands in hydraulic actuating systems, is updated through a learning process to adjust for each subsequent shift based on continuous monitoring of shifting performance and environmental changes. The proposed algorithm is implemented and evaluated on the experimental test setup. Results from the experimental studies for several operation modes show both improved performance and adaptability of the proposed shift controller to uncertain changes of the shifting environment in vehicle power transmission systems.
机译:在本文中,提出了一种先进的换挡控制器,该控制器通过自适应补偿来监控换挡瞬变。用于汽车自动变速箱的现代换档控制系统旨在提供平稳的过渡,从而为乘客带来舒适感和更好的组件耐久性。在传统方法中,已经进行了大量的测试和校准工作来调节控制器的增益,但是由于系统变化通常是由液压系统的不确定性和外部干扰引起的,因此不能始终确保最佳的换档质量。在提出的控制方案中,实现了具有智能监控器的自适应补偿控制器,以在系统变化上实现更高的换档质量。通过学习过程来更新在液压致动系统中产生离合器压力指令的控制输入模式,以便基于对变速性能和环境变化的连续监控,对每个后续变速进行调整。所提出的算法是在实验测试装置上实现和评估的。来自对几种操作模式的实验研究的结果表明,所提出的变速控制器对车辆动力传动系统中变速环境的不确定变化具有改进的性能和适应性。

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