Control Systems & Actuation

Master robotics actuation and control systems from fundamentals to advanced applications

What you’ll learn
Understand the fundamentals of actuators including DC motors, steppers, servos, and BLDC motors
Master PID control tuning for position and speed control in robotic systems
Apply state-space representation and advanced control techniques like MPC and LQR
Design and implement a self-balancing robot controller using PID control and IMU sensors

Requirements
Basic knowledge of mathematics and physics; familiarity with Python or similar programming language recommended

Description
This course contains the use of artificial intelligence.Master the core principles and advanced techniques of robotics control systems and actuators. This comprehensive course teaches engineers, roboticists, and enthusiasts both fundamental and advanced concepts in control systems design. You will learn about motor fundamentals including DC motors, stepper motors, servo motors, and BLDC motors, along with understanding encoders and feedback systems. The course covers essential PID control loops for precision motion control, enabling you to tune proportional, integral, and derivative gains effectively. Explore state-space representation and analysis for linear systems, including controllability and observability concepts. Discover advanced control techniques such as Model Predictive Control and Linear Quadratic Regulator implementations for sophisticated applications. Learn about digital twin technology for connecting physical motors to real-time 3D simulations for monitoring and testing. Gain practical experience implementing feedback control with real-world IMU sensors integrated into complete robotic systems. Throughout this course, you will develop practical skills that are in high demand in the robotics industry. By the end, you will have the knowledge to design effective control systems from simple motor control to advanced autonomous systems. Complete a comprehensive final project designing a self-balancing robot controller using PID and IMU sensor integration. Enroll today and begin your journey toward becoming an expert in robotics control and actuation.

Who this course is for
Students interested in robotics, control engineering, and embedded systems; engineers and hobbyists working on robot projects

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