Enhanced Fuzzy Control of Active Vehicle Suspension Systems Based on a Novel HPPD-Type Non-PDC Control Scheme
Yunshuai Ren, Xiangpeng Xie, Jiayue Sun, Anh‐Tu Nguyen
Abstract
This article investigates the fuzzy control problem for nonlinear active vehicle suspension systems (AVSSs). First, the Takagi-Sugeno (T-S) fuzzy technique is used to deal with the uncertainty of the AVSSs. Second, a novel nonparallel distributed compensation (non-PDC) fuzzy controller and a new class of Lyapunov functions, which are homogeneous polynomially parameter-dependent on the normalized membership functions, are proposed to reduce the conservatism of the control scheme. Third, in order to further improve the performance of the control scheme, a relaxation technique is developed to obtain more relaxed stabilization conditions. Finally, numerical simulations and hardware-in-loop tests are used to demonstrate the effectiveness of the proposed control scheme.