Control Systems: From Mathematical Modelling to PID Control

所在平台: Udemy

课程主页: https://www.udemy.com/course/control-systems-pid/

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课程简介

课程名称:控制系统:从数学建模到PID控制 概览:本课程是关于控制系统工程的综合性、详细且易于学习的在线课程,内容涵盖从数学建模到PID控制设计。控制系统无处不在,应用于汽车、军用飞机、星际火箭、计算机、冰箱、洗衣机等各个领域。随着技术的进步,控制工程使我们能够设计出高精度和高可靠性的复杂机器。 本课程将帮助您理解、运用及设计以下内容: - 工程系统的数学建模 - 拉普拉斯变换及线性微分方程 - 系统的传递函数、稳定性与框图 - 开环控制、闭环控制及稳态性能 - 比例控制(P)、比例积分控制(PI)、比例微分控制(PD)、比例微分反馈(PDFB)控制器 - 比例积分微分(PID)控制器设计及经验Ziegler-Nichols方法 课程将深入详细讲解每个概念和技术,并解释其基本原理及相关术语。无论您是初学者、中级学习者还是高级学习者,本课程都是学习控制系统及其背后的数学和工程的理想平台。不论您的背景如何,无论您是学生、工程师、科幻爱好者、业余机器人爱好者、无人机制造者、计算机科学家还是商界或体育界人士,您都能理解我们最先进技术背后的原理。 此外,如果您在课程学习过程中有任何问题,请随时联系我,我将在24小时内乐意为您解答!如果这个课程对您的个人成长、职业或者学术追求感兴趣,我强烈鼓励您加入,您不会后悔的!

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ONE OF THE ONLY COMPREHENSIVE, DETAILED AND APPROACHABLE ONLINE COURSES ON CONTROL SYSTEMS ENGINEERING, SPANNING FROM MATHEMATICAL MODELLING TO PID CONTROL DESIGN! Today, control systems are everywhere: in cars, military aircrafts, interplanetary rockets, computers, fridges, washing machines, etc. As technology advances, control engineering allows us to design systems which make the most complicated machines do exactly what we want them to do with outstanding accuracy and reliabilty. This course gives you the opportunity to understand, use and design the following: - Mathematical Modelling of Engineering Systems.- Laplace Transforms and Linear Differential Equations.- Systems' Transfer Functions, Stability and Block Diagrams.- Open Loop Control, Closed Loop Control and Steady State Performance.- Proportional (P), Proportional Integral (PI), Proportional Derivative (PD), Proportional Derivative Feedback (PDFB) Controllers.- Proportional Integral Derivative (PID) Controller Design and Empirical Ziegler-Nichols Method.I will thoroughly detail and walk you through each of these concepts and techniques and explain down to their fundamental principles, all concepts and subject-specific vocabulary. This course is the ideal beginner, intermediate or advanced learning platform for control systems, the mathematics and the engineering behind them. Whatever your background, whether you are a student, an engineer, a sci-fi addict, an amateur roboticist, a drone builder, a computer scientist or a business or sports person, you will understand the brains behind our most advanced technologies! If you have questions at any point of your progress along the course, do not hesitate to contact me, it will be my pleasure to answer you within 24 hours! If this sounds like it might interest you, for your personal growth, career or academic endeavours, I strongly encourage you to join! You won't regret it!

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