Optimal Seat and Suspension Design for a Half-Car with Driver Model Using Genetic Algorithm
TLDR
In this paper, a genetic algorithm is applied to search for the optimal parameters of the seat and vehicle suspension for a half-car vehicle model to reduce human body vibration (whole-body vibration).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.read more
Citations
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Integrated semi-active seat suspension for both longitudinal and vertical vibration isolation
TL;DR: In this paper, an integrated semi-active seat suspension, mainly composed of a switching mechanism, a transmission amplification mechanism, and a damping force or torque-controllable rotary magnetorheological (MR) damper working in pure shear mode, for both longitudinal and vertical vibration attenuation, is proposed, designed, and fabricated.
Journal ArticleDOI
Multi-objective optimization of the suspension system parameters of a full vehicle model
TL;DR: A methodology for the multi-objective optimization of the passive suspension system of a full-car model travelling in a random road profile provides a Pareto-optimal front, which consists of a set of non-dominated solutions that minimize the three objective functions.
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An approach for minimizing the number of objective functions in the optimization of vehicle suspension systems
TL;DR: This work indicates that the inconsiderate selection of objective functions noticed in the literature, in order to obtain the optimum solution of a suspension design, doesn't lead to extra quality in the solution and concludes that the economy in the objective functions could provide not only a better solution but also could save significant computational time.
Journal ArticleDOI
The efficiency of passive vibration damping on the pilot seat of piston propeller aircraft
Zoran Ilić,Boško Rašuo,Miroslav Jovanović,Stevan Jovicic,Ljubiša Tomić,Milutin Janković,Danilo Petrašinović +6 more
TL;DR: In this paper, the results of tests dealing with the measurements of vibrations at the seat and cabin floor of the flight instructor of the piston engine propeller aircraft and other engine and flight, parameters were presented.
Car Dynamics using Quarter Model and Passive Suspension, Part I: Effect of Suspension Damping and Car Speed
TL;DR: In this article, the effect of suspension damping and car speed on the sprung mass displacement and acceleration of a car passing a circular hump has been examined and it was shown that for ride comfort the car speed has not to exceed 6.75 km/h depending on the suspension damp.
References
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Optimal design of passive linear suspension using genetic algorithm
TL;DR: In this paper, the GA method is applied to the optimization problem of a linear one-degree-of-freedom (1-DOF) vibration isolator mount and the method is extended to a linear quarter car suspension model.
Journal ArticleDOI
Application of genetic algorithms to the design optimization of an active vehicle suspension system
TL;DR: In this paper, the use of genetic algorithm (GA) optimization, a global search technique, is used to determine both the active control and passive mechanical parameters of a vehicle suspension system.
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Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion
Lu Sun,Ximing Cai,Jun Yang +2 more
TL;DR: In this paper, the variance of the dynamic load resulting from the vibrating vehicle operating at a constant speed was used as the performance measure of a suspension system, and a genetic algorithm was applied to solve the nonlinear optimization problem.
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Optimum design of “road-friendly” vehicle suspension systems subjected to rough pavement surfaces
TL;DR: In this article, the authors presented an optimum concept to design road-friendly vehicles with the recognition of pavement loads as a primary objective function of vehicle suspension design, which is applicable to generic cases, where more complex vehicle model and pavement surface condition apply.
Journal ArticleDOI
Optimal seat and suspension design for a quarter car with driver model using genetic algorithms
TL;DR: In this article, an optimization of a four-degrees-of-freedom quarter car seat and suspension system using genetic algorithms to determine a set of parameters to achieve the best performance of the driver is presented.