A 2-DoF Kinematic Chain Analysis of a Magnetic Spring Excited by Vibration Generator Based on a Neural Network Design for Energy Harvesting Applications

In this paper, an original mathematical model and experimental results for the vibration generator magnetic spring prototype that converts mechanical energy to electrical are proposed. The is developed by a robotic approach based on Denavit–Hartenberg’s notation designed 2-degrees of freedom kinematic chain determination its motion estimation several resonance frequencies useful in many harvesting applications. moves modeled neural networks potential calculated finite elements method (FEM). Furthermore, Simulink block diagram. Testing displacement conducted laboratory have shown good agreement with simulation results.