Abstract
This paper presents an optimal vehicle and seat suspension design for a half-car vehicle model to reduce human-body vibration (whole-body vibration). A genetic algorithm is applied to search for the optimal parameters of the seat and vehicle suspension. The desired objective is proposed as the minimization of a multi-objective function formed by the combination of seat suspension working space (seat suspension deflection), head acceleration, and seat mass acceleration to achieve the best comfort of the driver. With the aid of Matlab/Simulink software, a simulation model is achieved. In solving this problem, the genetic algorithms have consistently found near-optimal solutions within specified parameters ranges for several independent runs. For validation, the solution obtained by GA was compared to the ones of the passive suspensions through sinusoidal excitation of the seat suspension system for the currently used suspension systems.
Highlights
Many people have focused their attention on the ride quality of vehicle which is directly related to driver fatigue, discomfort, and safety
This paper presents an optimal vehicle and seat suspension design for a half-car vehicle model to reduce human-body vibration
The desired objective is proposed as the minimization of a multi-objective function formed by the combination of seat suspension working space, head acceleration, and seat mass acceleration to achieve the best comfort of the driver
Summary
Many people have focused their attention on the ride quality of vehicle which is directly related to driver fatigue, discomfort, and safety. In the case of transport, WBV controls may include the use of suspended seats, suspended cabs, vehicle suspension systems, proper tire inflation [2] One solution to this problem is to develop an active seat and suspension systems capable of canceling the vibrations felt by the operator. Genetic algorithms optimization is used to determine both the active control and passive mechanical parameters of a vehicle suspension system and to minimize the extreme acceleration of the passenger’s seat, subjected to constraints representing the required roadholding ability and suspension working space. This paper presents a 4-DOF human-body model developed by authors [15], with linear seat suspension coupled with half car model In this model, a genetic algorithm was applied to search for the optimal parameters of the seat and vehicle suspension to reduce human vibration (whole-body vibration) and to achieve the best comfort of the driver
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