Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering

서지정보

· 발행기관 : 한국사물인터넷학회
· 수록지 정보 : 사물인터넷융복합논문지 / 9권 / 2호 / 61 ~ 69페이지
· 저자명 : 왈레 알라비 라왈, 키에 킴렁, 한영선, 김태경

초록

In recent years, due to heightened environmental awareness, Electric Power Steering (EPS) has been increasingly adopted as the steering control unit in manufactured vehicles. This has had numerous benefits, such as improved steering power, elimination of hydraulic hose leaks and reduced fuel consumption. However, for EPS systems to respond to actions, sensors must be employed; this means that the consistency of the sensor's linear variation is integral to the stability of the steering response.
To ensure quality control, a reliable method for detecting defects and assessing linearity is required to assess the sensitivity of the EPS sensor to changes in the internal design characters. This paper proposes a data-driven defect and linearity assessment monitoring system, which can be used to analyze EPS component defects and linearity based on vehicle speed interval division. The approach is validated experimentally using data collected from an EPS test jig and is further enhanced by the inclusion of a Graphical User Interface (GUI). Based on the design, the developed system effectively performs defect detection with an accuracy of 0.99 percent and obtains a linearity assessment score at varying vehicle speeds.

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