Control System Design and Optimization using MATLAB
Have you ever thought how quadcopters, temperature regulators, or self-balancing scooters are designed? Do you have an interest in controller designing and have heard about "PID control algorithm" and want to learn more about it?
The theory of feedback control is extremely significant in engineering. We use feedback control in our daily life unknowingly while driving a car, picking a ball, or stand upright. It adjusts or corrects actuation (e.g. driving angle, motor inertia, or heater output) based on sensor data (e.g. light, temperature, or velocity). The feedback control is widely used in almost every phase of life and industrial environment. Thus, the motive of this internship to introduce you to the concepts of advance control theory and best industrial practices used in control engineering. In this internship you will also learn and implement state-of-the-art control algorithms and their parametric optimization techniques.
Basics of mathematical modelling, simulation and control, case study of industrial plants
Implementation of Mathematical modelling and control algorithm in MATLAB
Problem identification and formulation
Major project assessment
Prerequisites for this internship
Through knowledge of Control Systems
Beginner level of programming experience is required
Basics of MATLAB/Simulink