Fuzzy Inference System for Improving the Input Shaping Control for a Flexible Beam

This paper develops a control scheme for a system consisting of a flexible beam attached to a translating hub using multi-mode input shaping control. There are many types of input shapers with different advantages and disadvantages. Each type shows the best performance in a specific situation. In order to determine the optimal input shaper for each situation, a decision support system based on fuzzy logic is implemented. This decision support system uses the information of modeling errors (i.e., natural frequency) and settling time requirements to find the appropriate input shaper. According to this input shaper, a shaped command is generated and applied to the system for vibration suppression. Numerical simulation is conducted to show the significant performance of the presented control scheme.