论文标题
扩展DC伺服运动状态空间模型的实验确定：本科实验
Experimental Determination of an Extended DC Servo-Motor State Space Model: An Undergraduate Experiment
论文作者
论文摘要
国家空间系统和实验系统识别是控制教育的重要组成部分。以互连和易于访问的方式将这些工具的早期引入控制实验室的课程中，这些工具并未过度填写概念，这在两种方面都很重要。首先，它促进了学生向更多高级和研究生控制概念的过渡。它还提供了与工业应用的有效链接。本文提供了两个新的实验程序，用于直接在本科控制实验室中直接识别直流电动机的状态空间模型。该过程不需要任何专门的硬件，可以使用标准实验室设备执行。他们也没有在电动机的模型上放置任何简化的假设。第一个过程是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。它很容易理解并适合第一个控制实验室。第二个过程更有效。它基于Markov方法，通常用于间接实现估计传输函数的状态空间模型。虽然该过程旨在供本科生使用，但它需要在州空间中相对先进的知识，这使其适合第二次本科控制实验室。
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.
