单自由度系统的无传感器位置控制

Ali Sharida, O. Zidan, Majdi Salamn, Iyad Hashlamon
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引用次数: 2

摘要

提出了一种通过弹性元件与伺服电机连接的质量体无传感器位置控制的新方法,该方法假设系统参数未知,采用递推最小二乘(RLS)方法根据电机轴上的反射转矩估计这些参数。卡尔曼滤波(KF)也被用作观测器来估计质量的位置,这取决于系统动力学和测量状态(电机轴的角位移和电枢电流)。最后,利用PID控制器根据估计的状态(质量位置)来控制质量的位置。该方法在包含未知参数的未测量状态的应用中非常有用。实验实现了该系统,采用Arduino Uno和L298驱动,采用ACS712模块测量通过电机的电流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensorless position control for a single DOF system
This paper proposes a new method for sensorless position control for a mass which is connected with a servo motor through an elastic element, the system was assumed to have unknown parameter, so recursive least square (RLS) method was used to estimate these parameters depending on the reflected torque on the motor's shaft. Kalman filter (KF) is also used as an observer to estimate the position of the mass, depending on system dynamics and the measured states (angular displacement for motor's shaft and the armature current). Finally, PID controller was used to control the position of the mass depending on the estimated state (mass position). This method is very useful in applications that contain unmeasured states with unknown parameters. The system was implemented experimentally, and driven using Arduino Uno and L298, the current through the motor was measured using ACS712 module.
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