Abstract
<div class="section abstract"><div class="htmlview paragraph">In this paper, semi-active MR main suspension system based on system controller
design to minimize pitch motion linked with MR-controlled seat suspension by
considering driver’s biodynamics is investigated. According to a fixed footprint
tire model, the transmitted tire force is determined. The linear-quadratic
Gaussian (LQG) system controller is able to enhance ride comfort by adjusting
damping forces based on an evaluation of body vibration from the dynamic
responses. The controlled damping forces are tracked by the signum function
controllers to evaluate the supply voltages for the front and rear MR dampers.
Based on the sprung mass acceleration level and its derivative as the inputs,
the optimal type-2 (T-2) fuzzy seat system controller is designed to regulate
the controlled seat MR damper force. The best rate for each linguistic variable
is acquired by modifying the range between upper and lower membership functions
(MFs), which enables accurate tracking of the seat-damping force. The parameters
of the LQG main system controller and the ideal scaling lower ranges of the T-2
fuzzy seat system controller are both explored by a genetic algorithm (GA). The
performance of LQG regulated for MR dampers is compared with that of
linear-quadratic regulator (LQR) controlled for MR dampers and passive systems
to measure the suspension efficacy under bump and random road disturbance. To
verify the efficiency of the recommended integrated models on both the main and
seat systems, the performance of the proposed ideal T-2 fuzzy-controlled MR
semi-active seat suspension is compared with the passive seat suspension. The
simulation results show that the LQG controlled connected with the T-2 fuzzy
controlled can greatly improve both ride comfort and vehicle stability, among
all examined systems.</div></div>