This repository contains MATLAB scripts demonstrating advanced concepts in Control Systems Engineering. The code focuses on modeling, analyzing, and stabilizing dynamic systems using both transfer functions and state-space representations.
Mastery of control theory is foundational for Automotive Software Engineering, particularly in developing ADAS (Advanced Driver Assistance Systems), engine control loops, and active vehicle dynamics.
- System Modeling: Creation and manipulation of mathematical models using transfer functions (
tf) and complex feedback loops (feedback). - State-Space Analysis: Conversion of continuous-time systems into state-space representation (
ss,ssdata) for advanced multi-variable control. - System Dynamics & Stability: Simulation of step responses (
step) and initial state responses (initial) to analyze system behavior over time. - Pole Placement: Implementation of control laws and calculation of feedback gain matrices (
place) based on desired performance specifications (e.g., settling time, overshoot).
- Language/Environment: MATLAB (Control System Toolbox)
- Concepts: Control Theory, State-Space Modeling, Closed-Loop Systems, Pole Placement, Dynamic System Simulation.
lab9.m- The core script containing the control logic, transfer function declarations, state-space conversions, and system response plotting.