Stability analysis of magnetic energy harvesting active suspension
CHEN Li
XU Li
ZHOU Ran
SUN Feng
Abstract：In order to improve the ride comfort and safety of vehicles,a new magnetic energy harvesting active suspension was proposed and its stability was studied.BP neural network PID control algorithm(BP-PID)was used to build a magnetic energy harvesting active suspension control system,and theoretical simulation was conducted by using MATLAB/Simulink.B-level and C-level random pavements were established to simulate and analyze the stability of magnetic energy harvesting active suspension at different speeds and pavement levels.The result shows that BP-PID control significantly improves suspension stability,in comparison with the passive suspension and the magnetic energy harvesting active suspension under PID control.The vertical acceleration of the vehicle body gets improved by 45.90%at 60 km/h on B-level random road surfaces,demonstrating the rationality of BP-PID control,thus effectively improve the suspension stability.
Keywords：magnetic energy harvesting active suspensionproportional integral differential controlback propagation neural networkpassive suspensionvertical acceleration of vehicle bodysuspension dynamic stroketire dynamic displacement
Publication Date：2024-05-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 298-304 )