Optimization of wheel suspension geometry using a genetic algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F23%3A00011517" target="_blank" >RIV/46747885:24210/23:00011517 - isvavai.cz</a>

Výsledek na webu

<a href="https://compmech.kme.zcu.cz/download/proceedings/CM2023_Conference_Proceedings.pdf" target="_blank" >https://compmech.kme.zcu.cz/download/proceedings/CM2023_Conference_Proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of wheel suspension geometry using a genetic algorithm

Popis výsledku v původním jazyce

This work deals with the optimization of the geometry of the independent wheel suspension, which is part of an experimental chassis with air springs. These springs, specifically the pressure inside their bellows, are controlled by deep reinforcement learning (DRL) algorithm. This chassis platform does not allow turning and driving, it is used exclusively for the research and application of DRL algorithms to control non-linear suspension elements on a system with multiple degrees of freedom. The geometry of the chassis, specifically the length and position of the individual arms, is optimized by a genetic algorithm (GA) in order to achieve the smallest possible displacement of the bottom edge of the tire and appropriate tilting of the wheel. Manufacturing possibilities are taken into account during the optimization, since the assembled suspension consists of steel rods and components produced by 3D printing technology, which can only have limited dimensions.

Název v anglickém jazyce

Optimization of wheel suspension geometry using a genetic algorithm

Popis výsledku anglicky

This work deals with the optimization of the geometry of the independent wheel suspension, which is part of an experimental chassis with air springs. These springs, specifically the pressure inside their bellows, are controlled by deep reinforcement learning (DRL) algorithm. This chassis platform does not allow turning and driving, it is used exclusively for the research and application of DRL algorithms to control non-linear suspension elements on a system with multiple degrees of freedom. The geometry of the chassis, specifically the length and position of the individual arms, is optimized by a genetic algorithm (GA) in order to achieve the smallest possible displacement of the bottom edge of the tire and appropriate tilting of the wheel. Manufacturing possibilities are taken into account during the optimization, since the assembled suspension consists of steel rods and components produced by 3D printing technology, which can only have limited dimensions.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů