MATLAB滑模控制实战：从PI到模糊滑模全攻略 – CG群

精通MATLAB滑模控制！本课程覆盖PI、FOPI、SMC、超螺旋及模糊滑模算法，通过李雅普诺夫分析攻克抖振难题，适用于机器人、电机等复杂系统，助您掌握高级非线性控制设计与仿真。

原始标题：Sliding Mode Control with MATLAB: PI, FOPI & Fuzzy

Sliding Mode Control with MATLAB: PI, FOPI & Fuzzy

本课程是一门面向控制工程和科研人员的高级实战课，专注于教授如何使用 MATLAB & Simulink 设计、仿真并优化从经典到前沿的五大核心控制算法。

课程由浅入深，涵盖经典 PI、分数阶 FOPI，以及具备强鲁棒性的滑模控制（SMC），并重点攻克滑模控制中的“抖振”痛点，深入传授超螺旋滑模（STSMC）和模糊滑模（FSMC）等高级非线性控制策略。旨在通过李雅普诺夫稳定性分析与多维度性能对比，帮助学员掌握解决复杂、不确定、强干扰非线性系统（如机器人、电机、航空航天等）的高性能控制器设计与工程落地能力。

Learn PI, Fractional PI, Sliding Mode, Super-Twisting, and Fuzzy Sliding Mode Control using MATLAB & Simulink

What you’ll learn
⚡ Design and implement PI controllers using MATLAB & Simulink.
⚡ Build Fractional Order PI (FOPI) controllers using the Oustaloup Recursive Approximation.
⚡ Understand the fundamentals of Sliding Mode Control (SMC) and robust nonlinear control.
⚡ Design sliding surfaces and develop reaching laws for SMC.
⚡ Analyze controller stability using Lyapunov Stability Theory.
⚡ Understand the causes of chattering and learn practical methods to reduce it.
⚡ Implement Super-Twisting Sliding Mode Control (STSMC) for smoother and more robust control.
⚡ Design intelligent Fuzzy Sliding Mode Controllers (FSMC) using fuzzy logic.
⚡ Build and simulate advanced control systems in MATLAB & Simulink.
⚡ Compare the performance of PI, FOPI, SMC, STSMC, and FSMC controllers.
⚡ Develop the skills required to design robust controllers for nonlinear and uncertain dynamic systems.
⚡ Confidently implement modern robust control algorithms for academic research and industrial applications.

Requirements
❗ A computer with MATLAB & Simulink installed (recommended for hands-on practice).
❗ No prior knowledge of Sliding Mode Control, Fractional Order Control, or Fuzzy Control is required.
❗ Prior experience with MATLAB & Simulink is helpful but not required—all implementations are explained step by step.

Description
Modern control systems are expected to deliverhigh accuracy, fast response, robustness, and stability, even when operating under uncertainties, external disturbances, and changing system parameters. While conventionalPI controllers remain the most widely used controllers in industry, many real-world systems require more advanced control strategies to achieve superior performance. This course provides a comprehensive journey from classical control to modern robust nonlinear control usingMATLAB & Simulink.

Unlike courses that focus only on theory, this course combinesconceptual understanding, mathematical derivations, controller design, and practical MATLAB implementation. Every controller is built step by step, simulated, and analyzed so that you gain both theoretical knowledge and practical skills.

In this course, you will master

✨PI (Proportional-Integral) Control

✨ Fundamentals of feedback control

✨ Controller tuning and performance analysis

✨ Transient and steady-state response

✨ Advantages and limitations of PI controllers

✨Fractional Order PI (FOPI) Control

✨ Introduction to fractional calculus

✨ Fractional-order controllers

✨ Oustaloup Recursive Approximation

✨ Performance comparison with conventional PI controllers

✨Sliding Mode Control (SMC)

✨ Nonlinear control fundamentals

✨ Sliding surface design

✨ Reaching laws

✨ Lyapunov stability analysis

✨ Robustness against disturbances and parameter uncertainties

✨ Complete MATLAB & Simulink implementation

✨Super-Twisting Sliding Mode Control (STSMC)

✨ Higher-order sliding mode theory

✨ Chattering reduction techniques

✨ Finite-time convergence

✨ Improved robustness and control performance

✨ MATLAB implementation with practical examples

✨Fuzzy Sliding Mode Control (FSMC)

✨ Fundamentals of fuzzy logic

✨ Fuzzy inference systems

✨ Adaptive gain tuning

✨ Intelligent chattering reduction

✨ Combining fuzzy logic with Sliding Mode Control

✨ MATLAB & Simulink implementation

Throughout the course, every concept is explained using a structured learning approach

✨ Understand the engineering problem.

✨ Learn the underlying mathematical concepts.

✨ Design the controller step by step.

✨ Implement the controller in MATLAB & Simulink.

✨ Analyze simulation results.

✨ Compare controller performance.

✨ Understand practical design considerations.

Special emphasis is placed on understandingwhy each controller works,when it should be used, andhow it improves system performance compared to conventional approaches. Rather than simply presenting equations, the course explains the intuition behind each control strategy, making advanced nonlinear control concepts easier to understand.

The course also includes controller performance comparisons based on key control metrics such as

✨ Rise Time

✨ Settling Time

✨ Overshoot

✨ Steady-State Error

✨ Disturbance Rejection

✨ Robustness

✨ Chattering Performance

✨ Control Effort

✨ Stability

Every controller is implemented usingMATLAB & Simulink, allowing you to gain practical experience that can be directly applied to research projects and industrial applications. By the end of the course, you will be able to confidently design, simulate, analyze, and comparePI,Fractional Order PI,Sliding Mode Control,Super-Twisting Sliding Mode Control, andFuzzy Sliding Mode Control for a wide range of engineering systems.

Whether your goal is to strengthen your understanding ofControl Systems, build expertise inRobust Nonlinear Control, or develop practicalMATLAB & Simulink skills, this course provides a complete foundation for designing high-performance controllers used inrobotics, electric drives, power electronics, renewable energy systems, industrial automation, automotive systems, aerospace, and advanced engineering research. It is designed to equip you with both the theoretical depth and hands-on implementation experience needed to solve real-world control engineering problems with confidence.

Who this course is for
⭐ Anyone interested in learning modern control system design through hands-on MATLAB & Simulink projects.
⭐ Power Electronics and Electric Drives Engineers designing motor control applications.
⭐ Control Systems Engineers looking to strengthen their knowledge of robust controller design.

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