Control Systems and Automation

We design and analyze control systems using mathematical modelling, simulation, and digital experiments. The selected control structure is based on system dynamics, operating constraints, and the required performance indicators.

 
• PID and classical control systems.

 
• dq-axis voltage and current control and FOC.

 
• PLL and synchronization systems.

 
• MPPT and energy-management control.

 
• ADRC and Extended State Observers.

 
• Quadratic-programming and optimization-based control.

 
• DNN policies trained from reference controllers.

 
• Safety Filters and Safety-QP constraint enforcement.

 
• PLC, HMI, and SCADA-oriented automation models.

 
• Controller tuning using optimization algorithms.

Performance evaluation may include settling time, overshoot, steady-state error, control effort, disturbance rejection, frequency nadir, RoCoF, restoration time, and constraint violations.