The control objective of an active suspension system is to produce excellent sprung mass isolation (i.e. ride quality), not too large a rattle space and good road holding ability. Due to the specific dynamics, the active suspension usually adopts a compromise control policy such as linear quadratic regulation (LQR) or linear quadratic Gaussian (LQG) to determine the feedback gains of the controller. In contrast to the full-state feedback control, a sliding mode fuzzy control strategy is employed to design a stable controller for a quarter-car model of the active suspension system. Motivated by the principle of singular perturbation, a systematic design approach is introduced and verified by computer simulation. It is shown that satisfactory performance can be achieved even if the system is under perturbed conditions.
All Science Journal Classification (ASJC) codes
- Mechanical Engineering
- Computer Science Applications
- Electrical and Electronic Engineering