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Magnetic Position Estimation in Ferromagnetic Systems Involving Significant Hysteresis

机译:涉及显着磁滞的铁磁系统中的磁位置估计

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The proximity of a magnetic sensor to a magnet has been utilized for position measurement in many applications involving small ranges of motion. However, such position measurement becomes challenging when the application involves a ferromagnetic environment and larger ranges of motion. The movement of a magnet magnetizes and demagnetizes the ferromagnetic surroundings and creates significant hysteresis in the magnetic field versus position relationship. This relationship can no longer be represented by an algebraic mathematical function and needs to take the history of previous motions into consideration for calculation of position from magnetic field measurement. This paper presents a position estimation system that utilizes various models to represent the hysteresis behavior, including an interacting multiple model approach, a Preisach model, and a modified Preisach model. The developed position estimation system is evaluated on a large hydraulic actuator used in mobile construction vehicle applications. Experimental results show that an unscented Kalman filter using the modified Preisach hysteresis model can provide a position estimate with an accuracy better than 2% of stroke, in spite of significant hysteresis.
机译:在涉及小范围运动的许多应用中,已经将磁传感器与磁体的接近度用于位置测量。但是,当应用涉及铁磁环境和较大的运动范围时,这种位置测量就变得很有挑战性。磁铁的运动使铁磁环境磁化和消磁,并在磁场与位置的关系中产生明显的磁滞。这种关系不再可以由代数数学函数表示,而是需要考虑先前运动的历史,以便根据磁场测量计算位置。本文提出了一种位置估计系统,该系统利用各种模型来表示磁滞行为,包括相互作用的多个模型方法,Preisach模型和改进的Preisach模型。研发的位置估算系统是在移动工程车辆应用中使用的大型液压执行器上进行评估的。实验结果表明,尽管存在明显的滞后现象,使用改进的Preisach滞后模型的无味卡尔曼滤波器仍可以提供比行程精度高2%的位置估计。

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