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유압 브레이크 내 밸브의 거동이 적용된 휠 압력의 추정에 관한 연구
박기서(Giseo Park),한경석(Kyungseok Han),최세범(Seibum Choi) 한국자동차공학회 2014 한국자동차공학회 학술대회 및 전시회 Vol.2014 No.11
For chassis control of vehicle such as ABS, TCS and ESP, It is important to feedback exact braking torque which is proportional to wheel pressure. However, using wheel pressure sensor requires extra cost and has difficulty in installation. Therefore estimation of wheel pressure using observer algorithm which has compensation for error between measurement and estimated data is proposed in this paper. Braking situation includes conventional brake and brake with valve control. According to each braking situation, wheel pressure observer is operated actively with variable observer gain. This brake based on hydraulic system is possible to execute ABS algorithm. Also, on-off control valves which are economical and robust are used mainly. The simulation has been performed by using CARSIM which is well known as a vehicle dynamic simulator. Then, the result of comparing estimated wheel pressure with actual wheel pressure has been shown.
칼만 필터 기반의 전동식 브레이크 실시간 클램핑력 추정
현세라(Sera Hyeon),조성선(Sungsun Cho),박기서(Giseo Park) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
The electro-mechanical brake (EMB) is anticipated by research communities and car manufacturers to be the future adopted brake system due to its advantages. However, to be competitively priced, the high cost load cell of EMB, which measures the clamping force to a disk, should be replaced by a clamping force estimation algorithm. First, in order to determine the point of occurrence of the clamping force, an algorithm is developed to estimate the pad contact point, which represents the contact between the pad and the disk. Then, a new Kalman filter for clamping force estimation is proposed in this paper. In particular, the estimation accuracy is improved by considering both friction torque models in the dynamic state and the stationary state. The performance of the proposed estimation algorithm is validated by comparison with the actual clamping force measured by the load cell sensor on the EMB test bench. At this time, through some stage tests including both steady state and transient state, it can be confirmed whether the performance of the proposed estimation algorithm can be maintained for various clamping force references.