REDUCING HARMFUL EFFECTS OF ROAD EXCITATIONS ON HUMAN HEALTH BY DESIGNING CAR ACTIVE SUSPENSION SYSTEMS

Abstract

Nowadays people are strongly dependent on cars for doing their tasks, but they usually are not aware of hazards which are awaiting them. For instance, since people travel with cars, their human bodies undergo in fatigue, restlessness, and sometimes health problems. Human body reaction under external vibration depends on the amplitude, frequency, and acceleration of the applied external excitation. These limitations which are usually announced by the bureau of standards imply the necessity of control of amplitude, vibration, frequency, and acceleration received by human body due to cars passing humps and bumps. In this paper, a quarter car model with active suspension system is considered and three control approaches namely optimal control, fuzzy control, and optimal neural network control (ONNC) are applied. Moreover, the performance of different controllers is compared. Findings indicate optimal neural network control leads to smooth ride with optimal amplitude and acceleration transformation, while keeping the holding force at minimum variation. Therefore, it can eliminate undesirable effects of road excitations on human health in the best way