Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
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.
Abstract
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.
참고문헌 (21)
- W. C. Ghoneim, "Model-based fault diagnosis and prognosis for Electric Power Steering systems", Proceedings of IEEE International Conference on Prognostics and Health Management (ICPHM), pp.1~8 (2016)
- X. Wang, "Non-conductive Steering Sensor for Electric Power Steering", Proceedings of the International Conference on Information and Automation, pp.1~6 (2009)
- Md. Akhtaruzzaman, "An Experiment on Electric Power Steering(EPS)System of a Car", Applied Mechanics and Material, pp.4941~4950 (2012)
- "LEARNING MODEL: Electric Power Steering", Proceedings of the Exxotest Education, 2007, pp.1~45 (2022)
- A, Koji, "Development of Electric Power Steering Evaluation System", KYB Technical Review, 56, pp.37~42 (2018)
- 홍지훈, "블록체인을 이용한 자동차 ECU 생체인증 기법", 사물인터넷융복합논문지, 6(1), pp.39~43 (2020), 한국사물인터넷학회
- H. Akhondi, "Performance evaluation of electric power steering with IPM motor and drive system", 13th International Power Electronics and Motion Control Conference, pp.2071~2075 (2008), IEEE
- X. Liu, "Optimal design of fault-tolerant controller for an electric power steering system with sensor failures using genetic algorithm", Shock and Vibration, 2018 (2018)
- Q. Chen, "Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis", Sensors, (12) (2018)
- V. Govender, "Modelling and position control of an electric power steering system", IFAC-PapersOnLine, 49(11), pp.312~318 (2016)
- P-P. Du, "Friction compensation control for electric power steering systems", 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), pp.212~217 (2018)
- A. Marouf, "A new control strategy of an electric-power-assisted steering system", IEEE Transactions on Vehicular Technology, 61(8), pp.3574~3589 (2012)
- K. Yamamoto, "A new control design for an optimized electric power steering system", IFAC WC 2017-20th IFAC World Congress (2017)
- X. Zheng, "Simulation analysis of electric power steering system (EPS) test platform", Journal of Physics: Conference Series, 1732(1), pp.012193~ (2021), IOP Publishing
- 이경중, "Design and Development of a Functional Safety Compliant Electric Power Steering System", Journal of Electrical Engineering & Technology, 10(4), pp.1915~1920 (2015), 대한전기학회
- H. Akhondi, "Performance evaluation of electric power steering with IPM motor and drive system", Proceedings of the 13th International Power Electronics and Motion Control Conference, pp.2071~2075 (2008)
- B. Shyrokau, "The effect of steering-system linearity, simulator motion, and truck driving experience on steering of an articulated tractor-semitrailer combination", Applied Ergonomics, 71, pp.17~28 (2018)
- T. Kim, "Smart Recycle Bin based on IoT", Journal of IoT Convergence, 6(1), pp.17~22 (2020)
- 이현섭, "낸드 플래시 메모리의 불량 발생빈도를 이용한 저장장치의 수명 예측 최적화 방법", 사물인터넷융복합논문지, 7(4), pp.9~14 (2021), 한국사물인터넷학회
- 김태국, "이동 차량을 위한 동영상 콘텐츠 전송 기법에 관한 연구", 사물인터넷융복합논문지, 7(2), pp.41~45 (2021), 한국사물인터넷학회