| An effort is made to investigate and control the chaotic response of a slider crank mechanism using a fuzzy logic controller. One of the primary reasons for examining chaotic systems is that they are capable of producing regular, well-behaved, periodic outputs that are easily handled by approximate techniques as well as outputs that appear random and which are not approximated by any analytical techniques. A physical and corresponding theoretical model of a slider-crank mechanism is considered. The computer implementation is based on Matlab/Simulink and the equation of motion of slider crank mechanism is used to build a simulink representation of the system. The chaotic response of a slider crank mechanism without a controller is studied first and a fuzzy logic controller is inserted to the input of the system afterwards. The system is studied for three different parameters and it was found that the controller works well for different conditions. A sinusoidal input is given to the system and a considerable improvement is found in the output response when a fuzzy logic controller is incorporated in the input. |
