Soft Computing in Control (Dept Elec - III) (2181710)  

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
Basic of process control loop, Control system design,
Rationale
To meet the requirement of control complexity and speed, the soft computing base control demands for modern control theories. In this subject, theory of soft computing is to be explored so that it can be applied to improve the performance of the control systems. It can be used for non-linear control applications also. This subject may be useful for those who aspire for the post graduation.
Course Outcome
After learning this course, the students should be able to:
CO1. understand concept of fuzzy logic.
CO2. do programming of fuzzy logic.
CO3. Design and utilization of fuzzy logic controller for various industrial applications.

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.