Control System, Optimization and Hardware in Loop Simulation

🚀 Master Control Systems, Optimization & HIL Simulation with MATLAB, SIMULINK, and Arduino!

Course Overview:

Embark on a comprehensive journey into the world of control systems, optimization techniques, and hardware-in-the-loop (HIL) simulation. This course is designed to equip you with a robust understanding of control system theory, practical hardware implementation, and advanced optimization methods using MATLAB, SIMULINK, and Arduino.

What You'll Discover in This Course:

🎓 Core Modules:

• Control System Basics: Lay a solid foundation with the fundamentals of control systems.
• Optimization Concepts: Learn to apply optimization techniques to solve real-world problems.
• PID Controller Design and Simulation: Understand the intricacies of designing, tuning, and simulating PID controllers.
• Fractional Order PID (FOPID) Controller Design and Simulation: Explore the advanced realm of FOPID controllers for more precise control.
• Fuzzy-PID Controller Design: Dive into the world of fuzzy logic and its integration with PID controllers.
• Cost or Objective Function Designing: Master the art of designing objective functions that are critical for optimization problems.
• Genetic Algorithm for Parameter Optimization: Discover how to use genetic algorithms to optimize controller parameters.
• Particle Swarm Optimization Algorithm: Learn this powerful algorithm for optimization in control systems.
• Modeling, Simulation, and Control of Different Physical Systems: Apply your skills to model, simulate, and control various physical systems.
• System Identification Techniques: Use MATLAB to identify system models from real-world data.
• HIL Simulation with PID Controller Using Arduino and SIMULINK: Gain hands-on experience with hardware-in-the-loop simulations.

Why Take This Course?

🎁 Key Highlights:

• Well Explained Theoretical Concepts: Complex theories are made simple to understand.
• Hardware Implementation Focus: Learn to apply concepts in real-world hardware scenarios.
• Optimization Mastery: Develop a deep understanding of various optimization techniques and their applications.
• Controller Tuning Methods: Explore different methods for tuning PID controllers effectively.
• Arduino Integration: Understand how to connect Arduino with MATLAB/Simulink for practical applications.
• HIL Simulation Insights: Learn the principles and practices of HIL simulation using PID controllers with real hardware.
• System Identification with Real Test Hardware: Apply system identification techniques using actual input/output data.

Course Requirements & Prerequisites:

• MATLAB Software: Ensure you have access to MATLAB for hands-on exercises.
• Basics of MATLAB: A foundational knowledge of MATLAB is essential for this course.

Who Should Take This Course?

This course is ideal for:

• 🎓 Aspiring Learners in Optimization: If you're eager to learn about optimization, this course is a must.
• 🚀 Control Engineers: Expand your knowledge on advanced control systems and optimization techniques.
• 👩‍🏫 Engineering Graduates in Control Systems: Enhance your skillset with the latest in control system design and simulation.
• 🧬 Ph.D. Research Scholars: Deepen your research capabilities in control systems and optimization with practical applications.

Join Sachin Sharmac for this insightful journey into the fascinating field of control systems, where theory meets hardware for a truly comprehensive learning experience. Sign up now to transform your understanding and application of control systems, optimization, and hardware-in-the-loop simulation! 🌟