
Control systems
Implementing Control Systems Architecture with model based design using the appropriate tool box in MATLAB and Simulink . Embedded C-code for the controller designed can also generated to be used on Hardware (Raspberry pi, Arduino, Esp 32, Android, IOS) with entry and exit point specified for integration with other codes. The control strategy required could be decided based on the system performance required. However, the control system architecture would consist of the basic components a controller( variations of PID, LQR, Iterative LQR, MPC adaptive MPC, gain scheduled MPC, Non-Linear MPC, Robust controller) , A State Estimator( Kalman filter, Extended Kalman filter, Unscented Kalman filter), senor data processing and fusion(Complimentary filter, Particle Filter) and other blocks to control the flow of the control system.
Project | 01
Project | Model Based Control System architecture design approach for drone technology using MATLAB and Simulink
MATLAB and Simulink provides toolbox for system modelling with Simscape, control system design while also providing the added advantage of Embedded code generation in C and C++ for implementation unto microprocessors and microcontroller
Project | 02
Project | Digital Implementation of PID Control and HIL Testing
Hardware In the Loop(HIL), a technique used in development and testing of complex real-time embedded systems. This project achieves that by simulating the plant under control with the mathematical representation of the dynamic system under investigation.