Control Systems
Control Systems
Physical system → model → simulation → controller → controlled response
Control engineering from the mechanical side: model a plant, simulate its dynamics, then design and test a controller on it, in MATLAB / Simulink and Python, and on hardware where a prototype exists. This is an area I am actively developing through simulation projects.
Capabilities
What this covers
Transfer functions
State-space models
ODE models
Dynamic system modelling
PID control
Feedback systems
Stability analysis
Frequency response
System identification
Actuator modelling
Sensor modelling
MATLAB & Simulink
Embedded control (Arduino / ESP32)
The control chain
How a controlled system is built
- PlantThe physical system: its mass, inertia, thermal capacity, actuators and sensors.
- ModelGoverning ODEs, transfer function or state-space form, with stated assumptions.
- SimulationOpen-loop response: step, impulse and frequency behaviour.
- ControllerPID or state feedback tuned against stability and performance targets.
- Controlled responseClosed-loop results, disturbance rejection and, where possible, hardware validation.
Selected work
Control Systems Projects
If a physical system needs to sense, decide and react, not just sit there, this is the lens I bring to it.
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