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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automatic-control-theory/
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**课程名称：** 电力工程自动控制理论终极课程 (Ultimate Automatic Control Theory in Electrical Engineering) **课程概览：** 本课程面向电力工程领域的学生，从零开始全面教授自动控制理论。 **学生将学到的内容：** * **控制系统基础：** * 掌握自动控制的基本原理及其在各个领域的应用。 * 理解控制系统的重要性。 * **数学建模：** * 建立电气和机械系统的数学模型。 * 熟练运用傅里叶级数、傅里叶变换、拉普拉斯变换以及线性时不变 (LTI) 系统。 * **方块图与信号流图技术：** * 掌握方块图及其简化技术。 * 学习将方块图转换为信号流图 (SFG) 并应用梅森公式。 * **时域分析：** * 分析一阶和二阶系统的时域响应。 * 理解上升时间、峰值时间和稳定时间等关键指标。 * **稳定性分析：** * 使用 Routh-Hurwitz 判据判断系统稳定性。 * 计算不同输入和系统下的稳态误差。 * **根轨迹与频域分析方法：** * 学习绘制根轨迹图并分析其对系统行为的影响。 * 应用极坐标图、奈奎斯特判据和波特图进行频域分析。 * **补偿器与 PID 控制器：** * 设计和实现各种控制系统补偿器。 * 学习使用 Ziegler-Nichols 和粒子群优化等方法调整 PID 控制器。 * **分布式发电机 (DGs) 介绍与基础：** * 理解分布式发电的基本概念、重要性及分类。 * 学习氢燃料电池、超级电容器和飞轮储能系统等 DG 技术。 * 探讨同步发电机的原理、运行和控制目标。 * 理解标量控制、开关信号生成和滞环电流控制。 * **同步发电机 (SSGs) 的高级控制技术：** * 掌握平衡三相系统的空间矢量表示。 * 熟练运用 Clarke 和 Park 变换、坐标系变换以及功率不变法。 * 实现 SSGs 的矢量控制策略，包括开环和闭环控制。 * 学习估计相量角度、集成带滞后相移的滤波器以及应用锁相环 (PLL) 系统。 * **光伏 (PV) 系统与最大功率点跟踪 (MPPT)：** * 理解并网光伏系统的基础和 MPPT 技术。 * 分析和实现“扰动和观察”方法以跟踪最大功率。 * 学习单级光伏系统的矢量控制。 * 在 MATLAB/Simulink 中开发并网光伏系统的仿真模型。 * 设计光伏阵列、控制回路以及系统的其他部分以进行全面仿真。 * 测试和验证系统性能，包括公共连接点电压控制。 * 理解两电平逆变器的开关状态，并实现正弦脉宽调制 (SPWM) 以实现精确控制。 * 学习前馈解耦控制原理，在 MATLAB 中实现控制回路，并计算等效阻抗。 **总结：** 本课程为学生提供了从基础概念到高级技术的全面控制系统理解，确保学生能将所学技能应用于实际场景。
Welcome to our course, "Ultimate Automatic Control Theory in Electrical Engineering," where you will learn everything about automatic control theory from scratch for electrical engineers.What Students Will Learn from the Course:Fundamentals of Control Systems:Understand the basic principles of automatic control.Learn the importance and applications of control systems in various fields.Mathematical Modelling:Develop mathematical models of electrical and mechanical systems.Gain proficiency in Fourier Series, Fourier Transform, Laplace Transform, and Linear Time-Invariant (LTI) systems.Block Diagram and Signal Flow Graph Techniques:Master the concepts of block diagrams and their reduction techniques.Convert block diagrams into Signal Flow Graphs (SFG) and use Mason's Formula.Time Response Analysis:Analyze the time response of first and second-order systems.Understand key specifications like rise time, peak time, and settling time.Stability Analysis:Determine system stability using the Routh-Hurwitz criterion.Calculate steady-state errors for different inputs and systems.Root-Locus and Frequency Response Methods:Learn to sketch root-locus plots and analyze their effect on system behavior.Perform frequency response analysis using polar plots, Nyquist criteria, and Bode plots.Compensators and PID Controllers:Design and implement various compensators in control systems.Understand and tune PID controllers using methods like Ziegler-Nichols and Particle Swarm Optimization.Introduction and Fundamentals of Distributed Generators (DGs):Understand the basic concepts, importance, and classifications of distributed generators.Learn about various DG technologies, including hydrogen fuel cells, ultra-capacitors, and flywheel energy storage systems.Explore the principles, operation, and control goals of SSGs.Examine the relationship between active and reactive power in synchronous machines.Understand scalar control, generation of switching signals, and hysteresis current control.Advanced Control Techniques for SSGs:Master space vector representation of balanced three-phase systems.Gain proficiency in Clarke and Park transformations, frame transformations, and power-invariant methods.Implement vector control strategies, including open-loop and closed-loop control of SSGs.Learn to estimate the phasor angle, integrate filters with lag phase shifts, and apply phase-locked loop (PLL) systems.Photovoltaic (PV) Systems and Maximum Power Point Tracking (MPPT):Understand the fundamentals of grid-connected PV systems and MPPT techniques.Analyze and implement the "Perturb and Observe" method for tracking maximum power.Learn vector control of single-stage PV systems.Develop simulation models for grid-connected PV systems in MATLAB/Simulink.Design PV arrays, control loops, and the rest of the system for comprehensive simulations.Test and validate system performance, including voltage control at the point of common coupling.Understand the switching states of a two-level inverter and implement sinusoidal pulse width modulation (SPWM) for precise control.Learn feedforward decoupling control principles, implement control loops in MATLAB, and calculate equivalent impedance.This course provides a comprehensive understanding of control systems, from fundamental concepts to advanced techniques, ensuring students are well-prepared to apply these skills in real-world scenarios.
