A simplified intelligent controller for ball and beam system
Muhammad Waqar Amjad, Mohd. Kashif, Shahrum Shah Abdullah, Zeeshan Shareef · 2010
Fuzzy Logic Controller (FLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to a FLC, the accuracy of the control action is enhanced. Nevertheless, a large set of rules requires more computation time. As a result, FLC implementation requires fast and high performance processors. In this paper, it is shown that the inference rule table of a two-input FLCs used to control a ball and beam system can be reduced to form a Single Input Fuzzy Logic Controller (SIFLC), which can be easily implemented using a lookup table. Simulated results are presented to demonstrate the better dynamic performance of the ball and beam using SIFLC compared to the conventional FLC (CFLC) and classical PID.