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所在平台: Udemy |
课程主页: https://www.udemy.com/course/applied-control-systems-for-engineers-2-uav-drone-control/
课程评论：没有评论
课程名称：应用控制系统 3：无人机（3D 动力学与控制） 课程概述：未来几十年内，我们将见证一个重大变革——自主无人机的出现。尽管目前无人机已经广泛应用，但四旋翼飞行器的应用领域将在未来不断扩大，包括快递服务、娱乐、医疗、军事、救援和结构质量检测等许多领域。在这些应用中，通常无人机会在三维空间中遵循预定义的轨迹，无需人工干预。人类只需给出简单的指令，无人机会根据计算机生成的特定轨迹，以高精度控制每个旋翼的转速，实现按轨迹飞行。 本课程的核心是设计、掌握和应用这些控制算法，以及推导四旋翼飞行器的动力学方程。您将全面学习如何在三维环境中建模和控制无人机，使其沿指定轨迹飞行。课程内容包括推导运动方程，利用3D动力学原理数学建模无人机系统，以及掌握强有力的控制技术，如模型预测控制和反馈线性化。 在3D动力学部分，您将学习无人机四旋翼建模的基本数学和物理知识，如何使用旋转矩阵和传递矩阵描述无人机在三维空间中的位置和方向，以及牛顿-欧拉六自由度运动方程和工程中广泛使用的龙格-库塔积分器及螺旋桨动力学。课程最后，还将向您展示Python仿真器中的代码。 理解本课程的内容、能够以数学量化这些内容，并且掌握如何使用编程应用它们，将为您的工程职业生涯带来难以想象的优势，为您在劳动力市场中提供竞争优势。我非常期待与您一起开始学习。如果您对我的免费预览视频感兴趣，请注册课程，让我们立即开始！
One of the greatest transformations that we will see in the next couple of decades is going to be the advent of autonomous drones. While being used extensively already, the applications of quadcopters will only grow in time. Drones will be used in delivery services, entertainment, medicine, military, rescue, structural quality inspection - places that people cannot reach easily, and in many other fields. In many cases, there will be a predefined trajectory in a 3D space that the UAV needs to follow without human help. In fact, humans might simply give a simple command for the drone to go somewhere, and then, a specific trajectory will be generated by a computer in that direction and the UAV's control algorithms will need to determine EXACTLY how fast each rotor should turn in order to make the drone follow that trajectory with high-degree precision. And that's what this course is all about - its about DESIGNING, MASTERING, and APPLYING these control algorithms together with deriving the dynamics equations for the quadcopter.In this course, you will receive a full package when it comes to learning about how to model and control a UAV drone and make it follow a trajectory in a 3D environment. Not only you will learn how to model a UAV system mathematically by deriving the equations of motion using the principles of 3D Dynamics, but you will also be exposed to some of the most powerful control techniques out there such as Model Predictive Control and feedback linearization.In 3D dynamics, you will learn the fundamental math and physics behind the UAV quadcopter drone modelling. You will learn how to describe the position and orientation of a UAV quadcopter drone in a 3D space using rotation and transfer matrices, Newton - Euler 6 Degree of Freedom equations of motion, widely used Runge - Kutta integrator in engineering and propeller dynamics.In the end of the course, I will also explain to you the code in the Python simulator.Understanding the material in this course fundamentally, being able to quantify it mathematically, and knowing how to apply it using coding - that will give you an advantage in your engineering career that you cannot even imagine yet. It will give you a competitive edge that you need in the labor market. I'm very excited to start working with you. Take a look at some of my free preview videos, and if you like what you see, then ENROLL in the course, and let's get started right now!
