Design for Detection and control of Adhesion signals through fuzzy inference system for antislip of railway vehicle

International Journal of Artificial Intelligence and Knowledge Discovery

Zulfiqar Ali Soomro¹ 

[1] Mech; Engg Deptt; Quaid-e-Awam University of Engg; Science & Tech; Nawabshah (Pakistan)

关键词: crisp output;    lateral motion;    spin speed;    torque;    disturbance;    member function;    defuzzification;   

DOI  :  

学科分类：建筑学

来源: RG Education Society

【 摘 要 】

:Unbalanced Adhesion is very critical problem of railway vehicle wheelset from track due to weather and contamination.  Appropriate adhesion level stables the braking performance and antislip constant for smooth running of wheelset. In this paper the pertaining dynamic system affecting upon adhesion is discussed as well as it presents the controller based upon fuzzy inference system to detect the adhesion level to control antislip ratio. Thus some fuzzy rules are invented to determine the balance between adhesion level and antislip ratio. This enables the train driver to stabilize the antislip of the vehicle upon rails based upon deficient adhesion level to maximize for proper running on allowable velocity of wheelset. Thus fuzzy logic controller displays the correlation of antislip and adhesion level.

【 授权许可】

Unknown