Design and Development of Stewart Platform To Balance the Ball Using Fuzzy Logic Control
Paper ID: 0905
This paper presents a low-cost balancing technique for the ball on the Stewart platform. This model is designed as a training tool for major balancing projects. Fuzzy control is introduced to enhance the control system’s effectiveness. Fuzzy rules are made to balance the ball on the platform using the position and velocity of the ball as inputs to the system. The Stewart platform’s dynamics and kinematiccats study is discussed. The Arduino Uno, a Central Control Unit, receives information from the touch panel to measure the ball’s position. In this robust system, exact inputs are not necessary. Simulation and experiments show that the ball is balanced on the XY axis after a specific interval, and the system performs well in monitoring.