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Experimental Determination of an Extended DC Servo-Motor State Space Model: An Undergraduate Experiment

机译:扩展直流伺服电机状态空间模型的实验确定:本科实验

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摘要

State space systems and experimental system identification are essential components of control education. Early introduction of these tools to the curriculum of a control laboratory in an interconnected and accessible manner that does not over-dilute the concepts is important in two ways. First, it facilitates a student's transition to more senior and graduate level control concepts. It also provides an effective link to industrial applications. This paper provides two novel experimental procedures for directly identifying the state space model of a DC motor in an undergraduate control laboratory. The procedures do not require any specialized hardware and can be performed using standard laboratory equipment. They also do not place any simplifying assumptions on the motor's model. The first procedure is based on direct pseudo inversion of the state space model. It does not require advanced knowledge of the state space approach or signal filtering. It is easy to understand and suits a first control laboratory. The second procedure is more efficient. It is based on the Markov approach commonly used for realizing, indirectly, a state space model from an estimated transfer function. While the procedure is designed for use by undergraduate students, it requires relatively advanced knowledge in state space that makes it suitable for a second undergraduate control laboratory.
机译:国家空间系统和实验系统识别是控制教育的必要组成部分。早期引入这些工具以互连和可访问的方式对控制实验室的课程,并不过度稀释概念以两种方式很重要。首先,它有助于学生过渡到更多的高级和研究生水平控制概念。它还提供了与工业应用的有效链接。本文提供了两种新的实验程序,可直接识别本科控制实验室中DC电机的状态空间模型。该程序不需要任何专用硬件,并且可以使用标准实验室设备进行。它们还不会在电机型号上放置任何简化的假设。第一个过程基于状态空间模型的直接伪反转。它不需要对状态空间方法或信号过滤的高级知识。很容易理解并适合一个第一个控制实验室。第二个程序更有效。它基于通常用于间接地实现估计传递函数的状态空间模型的马尔可夫方法。虽然该程序被设计用于本科生,但它需要在国家空间中的相对高度的知识,使其适用于第二次本科控制实验室。

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