Courses
Beginner Course- Level 1
Introduction to Control Systems
Prior Knowledge
Basic Mathematics for Control Theory
Electrical Circuits.
Modelling
LCR circuits
Circuit elements
Teaching hours
Conclusion and achievements
Electrical Engineering principles
Dynamics of Mechanical Systems
Learning objectives
Individual Learning hours
Control systems
Open loop control systems
Closed-loop control systems
Beginner Course
Level-2
Mathematical Modelling of Control Components
Prior Knowledge
Dynamic systems and Modelling
Electrical Circuits.
Modelling
LCR circuits and Examples
Introduction to MATLAB and SIMULINK
Teaching/lecture hours
Conclusion and Learning achievements
Introduction to Transfer Functions
Step response and stability analysis with graphical representations
Learning objectives
Individual Learning hours
Control systems
Open loop control systems
Closed-loop control systems
Popular Courses in Control Systems (Middle level)
Engineering Mathematics for Control Theory
Prior Knowledge
Electrical Engineering circuits and modelling
RL Circuits, RLC Circuits
Teaching/lecture hours
Conclusion and Learning achievements
Laplace Transforms
Time Domain and inverse Laplace transforms
Learning objectives
Individual Learning hours
Poles and Zeros, stability analysis
Mechanical Translational Systems
MATLAB and Simulink Modelling
Block Diagram Representation of Control Systems
Block Diagrams
Prior Knowledge
Addition, Multiplication
Block diagram of RL Circuits, RLC Circuits
Teaching/lecture hours
Conclusion and Learning achievements
Block diagram of transfer function
Learning objectives
Individual Learning hours
MATLAB and Simulink Modelling
Electrical Engineering
Dynamic modelling and Laplace transform
Prior Knowledge
Closed loop and open loop stability analysis
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
MATLAB and Simulink Modelling
Step response and error analysis
Learning outcome
Advanced Control Systems
1. PID Controllers
Introduction to PID Controllers and their
applications.
2. State controllers
3. LQR
4. Model Reference Adaptive Controllers
5. Kalman Filter and Riccathi Equation
6. Linear Model Predictive Controllers
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome
State Space Representation
State-Space Model
State Equation, Output Equation
State-Space Model to Transfer Function
Transfer function to State-space model
Stability analysis of State-Space Model
The transfer function of a DC Motor
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome
Routh-Hurwitz Criterion
Routh-Hurwitz Stability Criterion
Routh-Hurwits Array
Auxiliary Equation
Characteristic Equation
Range of values for Gain Constant
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome
Root-Locus Method
Root-Locus Method
1. Root-Locus Method and Stability
2. Magnitude Criterion and the Angle Criterion
3. Rules for constructing Root-Locus
4. Angle between each Asymptotes
5. Breakaway Points, Saddle Point
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome
Bode Plot & Stability Analysis
Bode Plot & Stability Analysis
1. Bode PLot, Frequency Response
2. Phase Shift, Time Delay,
3. Rules for constructing Root-Locus
4. Angle between each Asymptotes
5. Breakaway Points, Saddle Point
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome
Mathematical Modelling and simulation of Complex systems
Mathematical Modelling and simulation of Complex systems
1. Mathematical Modelling and simulation of Solar Photo Voltaic Systems.
2. Mathematical Modelling and Simulation of Li-Ion Batteries
3. Mathematical Modelling of Lead-Acid Batteries
4. Mathematical Modelling and Simulation of Variable speed Wind Turbines
5. Mathematical Modelling and Simulation of Capacitor banks.
6. Mathematical Modelling and Simulation of Fuel Cells.
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome
Web Development (optional )
1. Domain name
Web hosting
AI Technology
Hostinger and their support staff
Prior Knowledge
Teaching/lecture hours
Conclusion and Learning achievements
Learning objectives
Individual Learning hours
Learning outcome