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所在平台: Udemy |
课程主页: https://www.udemy.com/course/computer-aided-control-systems-design_control-system-toolbox/
课程评论：没有评论
课程名称：实用控制系统设计：经典与现代方法 课程概述：在当今快速发展的技术环境中，控制系统在汽车、航空航天、机器人及工业自动化等众多应用中扮演着关键角色。理解如何设计、分析和实施这些系统对任何工程师或研究人员来说至关重要。本课程《实用控制系统设计：经典与现代方法》是您掌握控制工程艺术与科学的全面指南。 本课程经过精心设计，将引导您逐步了解控制系统设计的基础知识。课程伊始，您将接触到Mathworks控制系统工具箱——这一现代控制工程师不可或缺的工具。您将学习如何设置控制回路、计算控制器系数，并使用MATLAB/Simulink设计状态观测器，同时深入理解相关的原理和理论。 深入学习后，课程将重点放在电机电气系统上，特别是直流电机速度控制，这为理解交流电机的场向控制奠定了基础。您将通过Simulink动手实践，设置控制回路、计算控制器系数，并为这些系统设计状态观测器。 此外，本课程还涵盖了高级主题，如LQ优化状态控制器和卡尔曼滤波器估计状态变量。您将学习如何利用线性-二次最优控制作为优化方法，掌握应对现实世界复杂控制问题的技能。 无论您是控制工程领域的新手，还是希望深化现有知识的学习者，本课程都提供了丰富的理论、实际例子和高级主题，助您熟练掌握控制系统设计。课程中将提供使用的所有MATLAB和Simulink文件，您可以随时自行练习，加深理解。 如果您准备好释放控制工程的全部潜力，本课程就是您的钥匙。现在就报名，开始您在实用控制系统设计领域的变革性学习之旅吧。
In today's rapidly evolving technological landscape, control systems play an integral role in a myriad of applications-from automotive and aerospace to robotics and industrial automation. Understanding how to design, analyze, and implement these systems is crucial for any engineer or researcher in the field. This course, "Practical Control System Design: Classical & Modern Methods," serves as your comprehensive guide to mastering the art and science of control engineering.This course is meticulously designed to take you through a step-by-step journey in control system design. It starts with the fundamentals, introducing you to the Mathworks Control System Toolbox-an indispensable tool for modern control engineers. You'll learn how to set up control loops, calculate controller coefficients, and design state observers using MATLAB/Simulink, all while gaining a deep understanding of the underlying principles and theories.As we delve deeper, the course focuses on electromechanical systems, specifically DC machine speed control, which serves as the foundation for understanding field-oriented control of AC machines. You'll get hands-on experience in setting up control loops in Simulink, calculating controller coefficients, and designing state observers for these systems.But we don't stop at the basics. The course also covers advanced topics like LQ-optimized state controllers and Kalman filter estimated state variables. You'll learn how to use linear-quadratic optimal control as an optimization method, providing you with the skills to tackle complex control problems in real-world applications.Whether you're just starting out in control engineering or looking to deepen your existing knowledge, this course offers a rich blend of theory, practical examples, and advanced topics to help you become proficient in control system design. With access to all MATLAB and Simulink files used in the course, you can easily practice and deepen your understanding at your own pace.So, if you're ready to unlock the full potential of control engineering, this course is the key. Enroll now and embark on a transformative learning journey in Practical Control System Design.
