Modelling & Simulation of Dynamic Systems:

Modelling and simulation of dynamic systems involve creating virtual representations of real-world systems to understand their behaviour and performance. It allows us to analyze and predict how these systems will behave under different conditions without the need for physical prototypes. For example, imagine you're designing a suspension system for a car. By creating a mathematical model of the system, you can simulate how the car responds to bumps on the road, varying speeds, or different road conditions. This helps you optimize the suspension design for better comfort and stability. Furthermore, in robotics, dynamic system modelling and simulation are crucial. By developing mathematical models and simulating the behaviour of robotic arms or mobile robots, you can predict their movements, optimize control algorithms, and ensure safe and efficient operations. 

I can provide system modelling with analytical mathematics in computer software such as MATLAB, Simulink, and SciLab. Where I have expertise in modelling mechanical, electrical, thermal, fluid and other engineering dynamic systems.

Control System Design:

In control systems design I can provide designing, tunning and simulation of particular control systems for engineering dynamic systems such as robotic manipulators, electrical and mechanical actuators, mobile robots, quadcopters and others. I have experience with several types of controllers such as PID, LQR, State-Feedback and other linear controllers. I can also design non-linear, digital and intelligent control systems such as Fuzzy or Neural Nets based controls.

Control of Inverted Pendulum

One can see the above example where I have designed a control system for an inverted pendulum and cart system, the project includes two types of controls PID and LQR one can see the example at the above link. For more projects visit my GitHub at the following link.

Husnain's - GitHub