Course info

The Digital Control Systems course focuses on the theory, design, and implementation of control systems for discrete-time (sampled) systems. It covers the principles of digital control, emphasizing the analysis and synthesis of control algorithms for systems where signals are processed in a digital format. Key topics include:

• Sampling and Reconstruction: Understanding the sampling theorem, aliasing, and signal reconstruction techniques.
• Z-Transform: Application of the z-transform for analyzing discrete-time systems, including transfer functions and stability analysis.
• Discrete-Time System Modeling: Modeling of digital systems using difference equations and state-space representations.
• Digital Controller Design: Techniques for designing digital controllers, such as PID controllers, pole placement, and state feedback.
• Stability and Performance Analysis: Assessing stability using methods like the Jury criterion and analyzing system performance in the discrete domain.
• Implementation Considerations: Practical aspects of digital control, including quantization effects, sampling rate selection, and real-time implementation on microcontrollers or DSPs.
• Applications: Case studies in areas such as robotics, automotive systems, and industrial automation.

The course combines theoretical foundations with practical applications, often including simulations and hands-on exercises using tools like MATLAB/Simulink. It is designed for students in electrical, mechanical, or control engineering, providing the skills to design robust digital control systems for real-world applications.