Journal ArticleDOI
Parameters optimisation of a vehicle suspension system using a particle swarm optimisation algorithm
TLDR
In this paper, the authors determine the lumped suspension parameters that minimise a multi-objective function in a vehicle model under different standard PSD road profiles, trying to meet the rms vertical acceleration weighted limits for human sensitivity curves from ISO 2631.Abstract:
The purpose of this paper is to determine the lumped suspension parameters that minimise a multi-objective function in a vehicle model under different standard PSD road profiles. This optimisation tries to meet the rms vertical acceleration weighted limits for human sensitivity curves from ISO 2631 [ISO-2631: guide for evaluation of human exposure to whole-body vibration. Europe; 1997] at the driver's seat, the road holding capability and the suspension working space. The vehicle is modelled in the frequency domain using eight degrees of freedom under a random road profile. The particle swarm optimisation and sequential quadratic programming algorithms are used to obtain the suspension optimal parameters in different road profile and vehicle velocity conditions. A sensitivity analysis is performed using the obtained results and, in Class G road profile, the seat damping has the major influence on the minimisation of the multi-objective function. The influence of vehicle parameters in vibration attenuation...read more
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Study on Self-Tuning Tyre Friction Control for Developing Main-Servo Loop Integrated Chassis Control System
TL;DR: A self-tuning longitudinal slip ratio controller (LSC) based on the nonsingular and fast terminal sliding mode (NFTSM) control method is designed to improve the tracking accuracy and response speed of the actuators and the proposed integrated chassis control strategies are verified by computer simulations.
Journal ArticleDOI
Real-time weighted multi-objective model predictive controller for adaptive cruise control systems
TL;DR: In this paper, a real-time weighted MPC (RW-MPC) is proposed to solve time-varying multi-objective control problems, where the weight of each objective can be adjusted with respect to different operating conditions.
Journal ArticleDOI
Simulated road profiles according to ISO 8608 in vibration analysis
TL;DR: The aim of this study was to compare spectrum parameters of real roads with ISO 8608 road classes used in scientific papers, and results often indicated marked differences amongRoad classes used for simulation purposes in comparison to the spectrum properties ofreal roads.
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.
Journal ArticleDOI
Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter
TL;DR: In this paper, a new type of fluid inerter and analyzes the nonlinearities including friction and nonlinear damping force caused by the viscosity of fluid.
References
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Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Journal ArticleDOI
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
M. Clerc,James Kennedy +1 more
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TL;DR: In this article, the authors attempt to find a middle ground by balancing engineering principles and equations of use to every automotive engineer with practical explanations of the mechanics involved, so that those without a formal engineering degree can still comprehend and use most of the principles discussed.
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Theory of Ground Vehicles
TL;DR: In this article, the authors present an approach to the prediction of normal pressure distribution under a track and a simplified method for analysis of tracked vehicle performance, based on the Cone Index.