Analysis of Fuzzy Logic Method for Load Lifting Robot

Abstract

This paper discusses fuzzy logic implementation in a load lifting arm robot. Fuzzy logic is used to calculate input values to avoid unsuitable power due to load weight variation. The evaluated performance on the load lifting robot is the successfulness of robot in lifting the load. System should determine the load mass to decide the motor rotation. System is designed by using the ATmega328 microcontroller. Servo motors are employed for driving lever and pinching lever. Mass sensor is employed to predict the load mass. In order to evaluate robot performance, load is limited to a maximum weight of 900 gram due to robot construction. The experiments show better accuracy results in determining the degree of slope servo when Tsukamoto's fuzzy logic model is implemented. Robot is more stable and the average value of the four motor slopes is 34.1%.