• Title/Summary/Keyword: Car Tuning

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Automotive Power Steering System Noise Source Identification using Frequency Analysis and Sound Intensity (자동차 조향 유압 시스템의 주파수분석 및 음향인텐시티 측정을 통한 소음원 분석에 관한 연구)

  • 최창환;임상규
    • Journal of KSNVE
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    • v.9 no.4
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    • pp.761-768
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    • 1999
  • This paper presents an NVH test of Automotive power steering system performed at a half-car Test-rig. The test was done for neutral and full turn(or relief) conditions in steering wheel at a fixed rpm first, then followed by the same conditions for the rpm run-up. The sound intensity measurement verified the results from the frequency and order analysis, especially about the identification of major noise sources and their dominant frequencies. The results from thie study can be utilized in the system noise tuning when a new steering component is installed. In particular, the noise and vibration reduction at the relief condition will be accomplished through the knowledge obtained from this study and from the on-going research on the hose tuning techniques usign silencers and tuning cable inserted in the pressure hose.

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Self-tuning optimal control of an active suspension using a neural network

  • Lee, Byung-Yun;Kim, Wan-Il;Won, Sangchul
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.295-298
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    • 1996
  • In this paper, a self-tuning optimal control algorithm is proposed to retain the optimal performance of an active suspension system, when the vehicle has some time varying parameters and parameter uncertainties. We consider a 2 DOF time-varying quarter car model which has the parameter variation of sprung mass, suspension spring constant and suspension damping constant. Instead of solving algebraic riccati equation on line, we propose a neural network approach as an alternative. The optimal feedback gains obtained from the off line computation, according to parameter variations, are used as the neural network training data. When the active suspension system is on, the parameters are identified by the recursive least square method and the trained neural network controller designer finds the proper optimal feedback gains. The simulation results are represented and discussed.

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Self-Tuning Gain-Scheduled Skyhook Control for Semi-Active Suspension System: Implementation and Experiment

  • Tae, Hong-Kyung;Chul, Sohn-Hyun;Ryong, Jung-Jae;Shik, Hong-Keum
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.178.4-178
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    • 2001
  • In this paper a self-tuning gain-scheduled skyhook control for semi-active suspension systems is investigated. The dynamic characteristics of a continuously variable damper including electro-hydraulic pressure control valves is analyzed. A 2-d.o.f. time-varying quarter-car model that permits variations in sprung mass and suspension spring coefficient is considered. The self-tuning skyhook control algorithm proposed in this paper requires only the measurement of body acceleration. The absolute velocity of the sprung mass and the relative velocity of the suspension deflection are estimated by using integral filters. The skyhook gains are gain-scheduled in such a way that the body acceleration and the dynamic tire force are optimized. An ECU prototype ...

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Self-Tuning Modified Skyhook Control for Semi -Active Suspension Systems (자기동조기법을 이용한 반능동 현가장치의 수정된 스카이훅제어 구현 및 실험)

  • 정재룡;손현철;홍금식
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.114-114
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    • 2000
  • In this paper a self-tuning modified skyhook control for the semi-active suspension systems is investigated. The damping force generation mechanism is modeled We consider a 2 DOF time-varying quarter car model that permits parameter variations of the sprung mass and suspension spring coefficient. The modified skyhook control algorithm proposed in this paper requires only the measurement of body acceleration. The absolute velocity of the sprung mass and the relative velocity of the suspension deflection are estimated by using integral filters, according to parameter variations. The skyhook gains are designed in such a way that the body acceleration and the dynamic tire force are optimized. An ECU prototype will be discussed

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Self-Tuning Gain-Scheduled Skyhook Control for Semi-Active Suspension Systems: Implementation and Experiment (반능동 현가시스템용 자기동조 게인조절형 스카이훅 제어기의 구현 및 실험)

  • Hong, Kyung-Tae;Huh, Chang-Do;Hong, Keum-Shik
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.3
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    • pp.199-207
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    • 2002
  • In this paper, a self-tuning gain-scheduled skyhook control for semi-active suspension systems is investigated. The dynamic characteristics of a continuously variable damper including electro-hydraulic pressure control valves is analyzed. A 2-d.o.f. time-varying quarter-car model that permits variations in sprung mass and suspension spring coefficient is considered. The self-tuning skyhook control algorithm proposed in this paper requires only the measurement of body acceleration. The absolute velocity of the sprung mass and the relative velocity of the suspension deflection are estimated by using integral filters. The skyhook gains are gain-scheduled in such a way that the body acceleration and the dynamic tire force are optimized. An ECU prototype is discussed. Experimental results using a 1/4-ear simulator are discussed. Also, a suspension ECU prototype targeting real implementation is provided.

Development of an Active Suspension System for Passenger Cars( II ) ; Prototype Car Test Result (승용차용 능동제어식 현가시스템의 개발(2); 실차 성능실험 및 결과)

  • Hwang, Y.;Hong, Y.S.;Lee, J.M.;Bae, J.Y.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.2 no.2
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    • pp.83-94
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    • 1994
  • Performance test result on prototype car equipped with low-band type active suspension system is reported. Control theory is explained first. Simulation for feasibility and parameter tuning, control module test using hydraulic exciter and test run, and performance evaluation of the test car on test track are reported successively. Emphasis was put on modification of control theory which caused many unexpected problems in actual implementation.

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Adaptive Variable Weights Tuning in an Integrated Chassis Control for Lateral Stability Enhancement (횡방향 안정성 향상을 위한 통합 섀시 제어의 적응 가변 가중치 조절)

  • Yim, Seongjin;Kim, Wooil
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.1
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    • pp.103-111
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    • 2016
  • This paper presents an adaptive variable weights tuning system for an integrated chassis control with electronic stability control (ESC) and active front steering (AFS) for lateral stability enhancement. After calculating the control yaw moment needed to stabilize a vehicle with a controller design method, it is distributed into the tire forces generated by ESC and AFS using weighted pseudo-inverse-based control allocation (WPCA). On a low friction road, lateral stability can deteriorate due to high vehicle speed. To cope with the problem, adaptive tuning rules on variable weights of the WPCA are proposed. To check the effectiveness of the proposed method, a simulation was performed on the vehicle simulation package, CarSim.

Design of a Disturbance Observer based Control System to Ensure Robust Stability of Quarter-Car Suspensions (1/4 차량 현가 장치의 강인 안정성을 보장하는 외란관측기 기반의 제어 시스템 설계)

  • So, Sang Gyun;Ryoo, Jung Rae;Doh, Tae-Yong
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.12
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    • pp.995-1001
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    • 2016
  • The vehicle suspension system plays a very important part related with vehicle ride and handling. To improve the vehicle ride and handling many researches have been progressed from various damping parameter tuning techniques to the development of the electronic controlled suspension systems. In this paper, as one of the ride performance improvement a disturbance observer(DOB) based control system is applied to the quarter car vehicle model in order to show that the DOB can obtain good vibration isolation characteristics. First, the robust stability criterion for the DOB is introduced in detail, and then how DOB is applied to the 1/4 car vehicle model is represented, and finally to confirm the effectiveness of the DOB in vehicle ride performance improvement a computer simulation is carried out for various driving conditions.

Dynamics-Based Location Prediction and Neural Network Fine-Tuning for Task Offloading in Vehicular Networks

  • Yuanguang Wu;Lusheng Wang;Caihong Kai;Min Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.12
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    • pp.3416-3435
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    • 2023
  • Task offloading in vehicular networks is hot topic in the development of autonomous driving. In these scenarios, due to the role of vehicles and pedestrians, task characteristics are changing constantly. The classical deep learning algorithm always uses a pre-trained neural network to optimize task offloading, which leads to system performance degradation. Therefore, this paper proposes a neural network fine-tuning task offloading algorithm, combining with location prediction for pedestrians and vehicles by the Payne model of fluid dynamics and the car-following model, respectively. After the locations are predicted, characteristics of tasks can be obtained and the neural network will be fine-tuned. Finally, the proposed algorithm continuously predicts task characteristics and fine-tunes a neural network to maintain high system performance and meet low delay requirements. From the simulation results, compared with other algorithms, the proposed algorithm still guarantees a lower task offloading delay, especially when congestion occurs.

Flow Analysis according to the Installation of an Aero Part in a Sports Car (스포츠카의 에어로 파츠 설치에 따른 유동해석)

  • Choi, Kyekwang;Cho, Jaeung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.1
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    • pp.36-42
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    • 2020
  • In this study, flow analyses of a vehicle at driving were carried out after each installation of a tuning part, specifically the bonnet air ducts, the rear spoiler, and the rear diffuser. The study models were designed to comprise a total of eight cases in which each of the three parts were mounted individually or all together in vehicles. Assuming that the vehicle were driven with an average high speed of 100 km/h, the speed and pressure around the vehicle were obtained using CFD when driving. The rear diffuser that becomes the most effective among the three mounting parts has a major role in reducing air resistance.