1 results listed
Ball and beam system (BBS) is a benchmark hardware for designing control action. The
structure of the system is based on changing the angle of the beam so that the position of the ball
is changed. It is desired to move the ball to a reference position. In this paper Fuzzy Logic
Controller (FLC) is applied for this problem. Instead of conventional FLC, the derivative and
integral terms are integrated to the FLC, which is called as PID-like FLC. This controller has a
constant Fuzzy structure with variable parameters. The performance of the controller is based on
these parameters. Therefore, in this study, the parameters of PID-like FLC are optimized by using
three optimization algorithms; Genetic Algorithm, Particle Swarm Optimization, and Differential
Evolution. The performance of the controller is demonstrated on both simulation and hardware
environment. The performance of the optimization algorithm with respect to the obtained
performances are compared in this paper.
International Data Science & Engineering Symposium
IDSES
O. Tolga ALTINÖZ
A. Egemen YILMAZ