|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/control-analysis-with-python-for-grid-connected-converters/
课程评论:没有评论
Coursera 课程《使用 Python 进行电网连接转换器的控制分析》简介: 本课程面向电力电子工程师,特别是那些在为转换器系统实现控制器时遇到困难的人。课程将教授如何利用 Python 将电网连接转换器建模为一个闭环传递函数。通过使用 Python 软件包,学生将能够设计控制器,并分析最终闭环系统的稳态性能和稳定性。课程还将通过 Python 模拟来验证分析结果。 课程的独特之处在于: * **由电力电子工程师为工程师设计:** 课程内容直接针对电力电子领域的实际需求,解决了许多传统控制课程缺乏相关性的问题。 * **免费开源软件:** 课程中使用的所有软件(如 Python 及其相关库)都是免费且开源的,学员无需额外购买软件许可证。 * **Python 在控制系统设计中的应用:** 课程将深入讲解用于控制系统设计和分析的 Python 函数和软件包。 * **实践驱动,数学要求低:** 为了让不同背景的学员(包括在职专业人士)都能受益,课程将数学内容降至最低,重点在于提供可用于项目的解决方案。 * **浅显易懂的理论讲解:** 课程将使用简单的例子来解释理论,力求使所有分析背后的原理易于理解。 总而言之,本课程旨在提供一套实用的工具和方法,帮助电力电子工程师有效地利用 Python 来进行电网连接转换器的控制设计和分析。
In this course, you will learn how to use Python to represent a converter connected to a grid as a closed loop transfer function. Using Python packages, controllers can be designed and the behaviour of the final closed loop system can be analyzed for steady state performance and stability. Analytical results will be verified using simulations performed using Python. This course is primarily for power electronics engineers who have been struggling to implement controllers for their converter systems as most of the controls courses do not have any specific relevance to power electronics. This course is a controls course created by a power electronics engineer for other power electronics engineers. All software used in the course are free and open source and therefore students do not need to purchase any software licenses after enrolling for the course. The course will describe in depth the Python functions and packages that can be used for control systems design and analysis.To make this course useful for students of every background, including working professionals, the mathematical content in the course has been kept to a bare minimum and the focus is on providing solutions that can be used in projects. The course will describe theory using simple examples as far as possible in order to make the theory behind all analysis easily understandable.