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Estimation of backlash with application to automotive powertrains

机译:背隙的估算及其在汽车动力总成中的应用

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In rotating systems, backlash imposes limitations on the quality of control. Automotive powertrains is an example where this is a well-known limitation. In order to increase the controller performance, knowledge of the backlash properties (size and current position) is needed. In this paper, nonlinear estimators for backlash size and position are described, both based on Kalman filtering theory. The size and position estimators are combined, and the result is an estimate of the state of the backlash. This information can be used in feedback control of the rotating system. Simulation and experimental results show that the estimates are of high quality, and robust to modelling errors.
机译:在旋转系统中,齿隙对控制质量施加了限制。汽车动力总成就是其中一个众所周知的局限性的例子。为了提高控制器性能,需要了解齿隙特性(尺寸和当前位置)。本文基于卡尔曼滤波理论,描述了间隙大小和位置的非线性估计器。大小和位置估算器组合在一起,结果是对反冲状态的估算。该信息可用于旋转系统的反馈控制。仿真和实验结果表明,这些估计是高质量的,并且对建模误差具有鲁棒性。

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