Applied Control Engineering

• Derive mathematical models of simple dynamical systems.
• Convert a system between the time domain and the Laplace domain.
• Describe a system using transfer function and block diagram.
• Identify a nonlinear system and apply a linearization technique.
• Analyze the transient response of first-order and second-order systems.
• Compute poles and zeros to analyze system behavior.
• Perform a stability analysis in both the time domain and frequency domain.
• Tune PID gains using Root Locus and Ziegler-Nichols methods.
• Use MATLAB and SIMULINK for control system analysis and simulation.
• Implement a control system in the lab and write a technical report.

Mathematical modeling of mechanical and electrical systems. Laplace transform and transfer functions. Linearization of nonlinear systems. Open-loop and closed-loop control. Transient analysis. Root locus. Ziegler-Nichols methods. System order, type, and minimum/non-minimum phase behavior. Final value theorem. Static gain. Steady-state error analysis. PID control design and tuning. Frequency analysis. Hands-on lab exercises.

• 36 – 49 (Mon 13-17)

01901/62646/62735/62675/62601

The course is based on lectures, exercises, computer based simulation exercises on your own PC, and experimental work ind RobotLab

Section of Mechanical Technology
Mechanical Engineering, Ballerup: 3. semester
Electrical Engineering, Ballerup: 3. semester

Students are required to purchase an Arduino board, such as Arduino UNO.