Module 1: Preface to Control Systems (Week 1-2)

Fundamentals of control engineering, including open loop and closed loop systems and their applications in production.

Understand key terminologies such as system dynamics, control actions, and block diagram representation.

Explore the concept of feedback systems, differentiating between positive and negative feedback and their roles in system performance.

Study transfer functions, their mathematical representation, and how they are used to analyze system behavior.

Analyze poles and zeros to assess system stability and frequency response.

Dive into state-space representation to model systems using state variables and matrices.

Utilize the Laplace Transform for solving differential equations and understanding system dynamics.

Module 2: Stability Analysis and MATLAB (Week 3-4)

Gain insights into stability concepts, including stability criteria and methods like Routh-Hurwitz and Nyquist.

Master Bode plot analysis to evaluate frequency response and determine gain and phase margins.

Get hands-on with MATLAB tools for control systems engineering, learning to simulate and analyze control systems effectively.

Module 3: Applied Control Theory for Power Converters and Motors (Week 4-5)

PID control, including integral, proportional, and derivative components, tune controllers for optimal performance.

Simulate step response using MATLAB/Simulink to analyze transient and steady-state system behavior.

Module 4: Controller Design for DC Motors (Week 5-6)

Derive and analyze the transfer function of a DC motor to understand its dynamic characteristics.

Develop setpoint tracking strategies to ensure the motor follows desired performance targets under different scenarios.

Design systems to reject disturbances and maintain stability and efficiency in motor operation.

Module 5: Introduction to Digital Control Systems (Week 7-9)

Explore the limitations of analog control systems, including challenges with sampling, quantization, and noise.

Learn about discrete control systems and their advantages in modern engineering applications.

Apply Z-domain analysis to understand transfer functions, stability, and system behavior in discrete-time systems.

Module 6: Motor Control with Microcontrollers (Week 9-11)

Discover digital power control techniques, including PWM and their applications in motor control.

Fundamentals and architecture with choosing the right microcontroller for specific control tasks.

Programming and interfacing techniques to integrate microcontrollers, motors, and sensors for industrial applications.

Module 7: Advanced Vehicle Dynamics and its Control (Week 12)

Intelligent and connected vehicle systems, role of control systems in autonomous and connected vehicles.

Integration of master controllers with local controllers and their role in managing complex vehicle dynamics.

Module 8: Capstone Project and Placement Preparation (Week 13-15)

Work on a comprehensive capstone project, such as designing a PID-controlled DC motor system with microcontroller integration, applying knowledge from all modules.

Prepare for placements with mock interviews, resume building, and problem-solving exercises tailored to control systems engineering roles.