http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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.
전동식 브레이크 시스템의 클램핑력 센서 교정 및 클램핑력 추정 알고리즘 개발
박기서(Giseo Park),최세범(Seibum Choi),현동윤(Dongyoon Hyun) 한국자동차공학회 2016 한국 자동차공학회논문집 Vol.24 No.3
The electromechanical brake (EMB) is one of future brake systems due to its many advantages. For implementation of the EMB, the correct feed back about clamping force is necessary. Keeping commercialization of the EMB in mind, it is strongly demanded that an expensive load cell measuring the clamping force is replaced with an estimation algorithm. In addition, an estimation of the kissing point where the brake pads start to come into contact with a disk wheel is proposed in this paper. With these estimation algorithms, the clamping force can be expressed as a polynomial characteristic curve versus the motor angle. Also, a method for calibration of measured values by the load cell is proposed and used for an actual characteristic curve. Lastly, the performance of the proposed algorithms is evaluated in comparison with the actual curve on a developed EMB test bench.
전자식 사륜 구동 차량의 코너링 성능 향상을 위한 횡방향 거동 제어
한경석(Kyoungseok Han),박기서(Giseo Park) 한국자동차공학회 2020 한국 자동차공학회논문집 Vol.28 No.9
A lateral motion control to enhance the cornering performance of electronic-four-wheel drive(e-4WD) vehicles is introduced in this paper. The proposed controller aims to optimally provide the in-wheel motor(IWM) torques to each wheel assisting the vehicle in following the desired trajectories. It includes a yaw rate reference for neutral-steering, which leads to enhanced cornering performance. A smooth sliding mode controller(SMC) is utilized based on a bicycle model to generate the desired yaw moment. Lastly, a torque distribution method with the Daisy-chaining allocation is utilized within an available torque operation area of IWM. Using the CarSim software, the proposed control algorithm is simulated. The effectiveness of the proposed approach is evaluated using various driving scenarios. It is confirmed that some evaluation factors in cornering performance are improved.
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.