Intelligent Systems – I: Design and comparison of type-1 and interval type-2 fuzzy gain scheduling controllers for ball and beam system
Abstract/Description
The paper presents the design and comparison of type-1 and interval type-2 fuzzy logic controllers for ball and beam system. Both the controllers utilize the beam angle as a scheduling variable for the stabilization and tracking of the ball position. The performance of the controllers is analyzed by simulating them in MATLAB environment for various initial conditions and in the presence of disturbance signals. It is shown that interval type-2 fuzzy gain scheduling controller has a better response and disturbance rejection capability as compared to type-1 fuzzy and conventional pole placement controller.
Keywords
Ball and beam system, Interval type-2 fuzzy gain scheduling control, Type-1 fuzzy gain scheduling control, State feedback control
Location
Room M1
Session Theme
Intelligent Systems – I
Session Type
Other
Session Chair
Dr. Sajjad Haider
Start Date
14-12-2013 3:00 PM
End Date
14-12-2013 3:30 PM
Recommended Citation
Farooq, U., & Gu, J. (2013). Intelligent Systems – I: Design and comparison of type-1 and interval type-2 fuzzy gain scheduling controllers for ball and beam system. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2013/2013/2
COinS
Intelligent Systems – I: Design and comparison of type-1 and interval type-2 fuzzy gain scheduling controllers for ball and beam system
Room M1
The paper presents the design and comparison of type-1 and interval type-2 fuzzy logic controllers for ball and beam system. Both the controllers utilize the beam angle as a scheduling variable for the stabilization and tracking of the ball position. The performance of the controllers is analyzed by simulating them in MATLAB environment for various initial conditions and in the presence of disturbance signals. It is shown that interval type-2 fuzzy gain scheduling controller has a better response and disturbance rejection capability as compared to type-1 fuzzy and conventional pole placement controller.
