A Multi-objective, active fuzzy force controller in control of flexible wiper system

Latin American Journal of Solids and Structures

Seyed Ebrahim Ghasemi¹  Misagh Imani¹  Ali Zolfagharian¹ 

[1] Islamic Azad University;

关键词: Automotive wiper;    system identification;    fuzzy logic;    active force control;    objective genetic algorithm;   

DOI  :  10.1590/S1679-78252014000900002

来源: DOAJ

【 摘 要 】

Chaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamics of wiper blade with acquired experimental data. In controller design part, taking into account environmental and external disturbances that cause changes in the dynamic characteristics of the system demanded a robust controller to make a trade off between the worst and best scenario. An active fuzzy force controller (AFLC) supervised by multi objective genetic algorithm (MOGA) is developed to keep both interests of noise and vibration redaction of automobile wiper blade at the reasonable rise time.

【 授权许可】

Unknown