带电流变液和扭矩控制的粘性离合器传递函数的参数估计

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Journal of Intelligent Material Systems and Structures Pub Date : 2023-12-29 DOI:10.1177/1045389x231200079
I. Musiałek, A. Kesy, Artur Olszak, Seung-Bok Choi
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引用次数: 0

摘要

本文涉及传递函数的识别,该传递函数包含由电流变(ER)流体作为工作流体操作和控制的液压粘性盘式离合器的主要设计和动态参数。作为离合器鉴定的一部分,建立了离合器动力学数学模型。该模型认为,扭矩随时间的变化由带有时间延迟的一阶系统所代表的传递函数来描述。构建了离合器原型和测试台,并进行了测试。高压阶跃输入用于触发扭矩变化。在试验台测试的基础上,确定了具有时间延迟的一阶系统的常数参数。根据这些参数值,为闭环控制系统选择了一个比例积分(PI)控制器。结果发现,利用已确定的设计参数,这种控制系统在外部干扰下的运行精度很高,是可以接受的。
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Parameter estimation of transfer function of viscous clutch with electrorheological fluid and torque control
This article concerns the identification of a transfer function which contains principal design and dynamic parameters of a hydraulic viscous disc clutch operated and controlled by an electrorheological (ER) fluid as a working fluid. A mathematical model of clutch dynamics is created as part of the clutch identification. It is considered that the changes in torque over time are described by transfer function represented by the first-order system with time delay. A prototypic clutch and a test bench are constructed, and tests are performed. A high voltage step input is used to trigger the torque changes. Constant parameters of the first-order system with time delay are identified on the basis of bench tests. According to the values of these parameters, a proportional-integral (PI) controller is selected for the closed-loop control system. It is found that operation of such a control system utilizing the identified design parameters is acceptable with high accuracy under external disturbances.
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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