Performance Of Semi-Active Control Of Railway Vehicle Suspension
Full text
Related documents
Table 5.4: Maximum acceleration values of the ON/OFF and passive suspension systems for different C hard /C soft values under the step
Figure 22 Simulation results (displacement) of Fuzzy-PID with gain scheduling controller of semi active suspension system for sinusoidal input disturbances.. Figure 23
This work aim at designing a double loop PID control of generated force and vehicle suspension parameters using a four degree of freedom, nonlinear, half vehicle active suspension
Priyadonko in his study shows that the amplitudes of the sprung mass acceleration, and displacement for an active suspension based on skyhook adaptive neuro active
The simulation results show the integration strategy not only improves the straight track ride quality of the tilting train, but also attenuates the dynamics interaction between
Figure 7 – 10 show the plot of body travel, body acceleration, suspension deflection and actuator force of all the controllers used namely, robust H-infinity, robust
The proposed semi-active suspension integrates a clipped-optimal and a fuzzy logic based control- ler in combination with a MR damper to reduce the motion of the vehicle body.
The body travel, body acceleration and suspension deflection simulation result of the active and semi-active suspension system with H controller for a sine