FUZZY LOGIC CONTROL SYSTEM

A Seminar Report Submitted in Partial Fulfillment

of the Requirements for the Degree of

Master in Computer Application

Department of Computer Science, Engineering and ApplicationsIndira Gandhi Institute of Technology,

Sarang, Dhenkanal, Odisha-759146

GUIDED BYMrs.Sangita Pal

SUBMITTED BY

RAJANIKANTA PRADHANMCA 4th SemesterRoll. No. - 32422

FUZZY LOGIC CONTROL SYSTEM

A Seminar Report Submitted in Partial Fulfillment

of the Requirements for the Degree of

Master in Computer Application

Department of Computer Science, Engineering and ApplicationsIndira Gandhi Institute of Technology,

Sarang, Dhenkanal, Odisha-759146

GUIDED BYMrs.Sangita Pal

SUBMITTED BY

RAJANIKANTA PRADHANMCA 4th SemesterRoll. No.-32422

INDIRA GANDHI INSTITUTE OF TECHNOLGYSARANG

CERTIFICATE

This is a bonafide record of Seminar Report entitled “Fuzzy logic control system”. This

seminar was presented satisfactorily at the department of computer science, engineering and

application, IGIT, Sarang in partial fulfillment of requirement for forth semester Master in

Computer Application under BPUT, Odisha. This report has not been submitted for any

other examination and does not form part of any other course undergone by the candidate.

Date: 26.02.2015

Seminar Supervisor HOD, Dept. of CSEA

ACKNOWLEDGEMENT

I am heartily thankful to my supervisor, Mrs.Sangita Pal, whose encouragement, guidance

and support from the initial to the final level enabled me to develop an understanding of the

subject.

I would like to express my sincere thanks to Prof. S.N. Mishra, HOD, Dept. of CSEA, IGIT,

Sarang for his suggestion, motivation and support during the seminar preparation.

I have been fortunate enough to have all support motivation from my parents and friends. I

sincerely thanks to the other faculties of the department of CSEA, IGIT, Sarang for their

positive and constructive suggestion and kind cooperation during seminar preparation and

presentation.

RAJANIKANTA PRADHAN

TABLE OF CONTENTS Page No

Abstract 1

1. Introduction 2

2. Classic set and fuzzy set 3

2.1 Fuzzy sets 4

2.2 Fuzzy vs. Probability 5

3. Membership function 6

3.1 Features of Membership function 7

4. Fuzzification 7

5. Defuzzification 8

5.1 Max-Membership principle 8

5.2 Centroid Method 8

5.3 Weighted average method 8

5.4 Means –max membership 9

6. Fuzzy logic control system 10

7. Automated automobiles 10

7.1. Obstacle Sensor Unit: 10

7.2. Sensing distance 10

7.3. Mechanism 10

7.4. Speed control 12

7.5 Obstacles which the car cannot overcome: 13

8. Conclusion 13

9. Reference 13

LIST OF FIGURE Page No

Figure 1 Classical set and fuzzy set . 3

Figure-2 Membership function for fuzzy set 5

Figure-3 Features of membership function 6

Figure-4 Normal and subnormal fuzzy set 7

Figure-5 Input member function for distance 11

Figure-6 Input membership function velocity 11

Figure-7Output membership function 12