Control System Engineering (2141004)  

6
Credit
4 + 0 + 2
Lect + Tuto + Pract
Teaching Scheme
70 + 20 + 10
ESE + PA + ALA
Theory Marks
20 + 10 + 20
ESE + OEP + PA
Practical Marks
ESE - End Semester Examination, PA - Progress Assessment, ALA - Active Learning Assignments, OEP -Open Ended Problem


Prerequisite

Knowledge of Linear differential equations, Differential equations and its solution, and Laplace transform.

Rationale
This course explores the fundamentals of systems and control. The course has two primary focuses:
(1) Understanding and predicting system behavior, and
(2) Design and analysis of closed loop control systems.
Course Outcome
  1. Apply systems theory to complex real world problems in order to obtain models that are expressed using differential equations, transfer functions, and state space equations
  2. Predict system behavior based on the mathematical model of that system where the model may be expressed in time or frequency domain
  3. Analyze the behavior of closed loop systems using tools such as root locus, Routh Hurwitz, Bode, Nyquist, and Matlab
  4. Design controllers using classical PID methods, root locus methods, and frequency domain methods.
  5. Devise a safe and effective method of investigating a system identification problem in the lab
  6. Write a report that effectively communicates the results of an analysis or design.

Active Learning

Preparation of power-point slides, which include videos, animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU.