• Title/Summary/Keyword: Vehicle Dynamics Model

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Experiment on Multi-Dimensioned IMM Filter for Estimating the Launch Point of a High-Speed Vehicle (초고속 비행체의 발사원점 추정을 위한 다중 IMM 필터 실험)

  • Kim, Yoon-Yeong;Kim, Hyemi;Moon, Il-Chul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.1
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    • pp.18-27
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    • 2020
  • In order to estimate the launch point of a high-speed vehicle, predicting the various characteristics of the vehicle's movement, such as drag and thrust, must be preceded by the estimation. To predict the various parameters regarding the vehicle's characteristics, we build the IMM filter specialized in predicting the parameters of the post-launch phase based on flight dynamics. Then we estimate the launch point of the high-speed vehicle using Inverse Dynamics. In addition, we assume the arbitrary error level of the radar for accuracy of the prediction. We organize multiple-dimensioned IMM structures, and figure out the optimal value of parameters by comparing the various IMM structures. After deriving the optimal value of parameters, we verify the launch point estimation error under certain error level.

Path Tracking Motion Control using Fuzzy Inference for a Parking-Assist System (퍼지 추론을 이용한 주차지원 시스템의 경로추종 운동제어)

  • Kim, Seung-Ki;Chang, Hyo-Whan;Kim, Chang-Hwan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.2
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    • pp.1-9
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    • 2009
  • A parking-assist system is defined that a driver adjusts vehicle velocity through brake pedal operation and parking-assist system controls the motion of the vehicle to follow a collision-free path. In this study, a motion control algorithm using Fuzzy inference is proposed to track a maneuvering clothoid parallel path. Simulations are performed under SIMULINK environments using MATLAB and CarSim for a vehicle model. As the vehicle model in MATLAB a bicycle model is used including lateral dynamics. The simulation results show that the path tracking performance is satisfactory under various driving and initial conditions.

EXPERIMENTAL STUDY ON THE BUSHING CHARACTERISTICS UNDER SEVERAL EXCITATION INPUTS FOR BUSHING MODELING

  • Ok, J.K.;Yoo, W.S.;Sohn, J.H.
    • International Journal of Automotive Technology
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    • v.8 no.4
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    • pp.455-465
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    • 2007
  • The bushing element shows nonlinear characteristics in both displacements and frequencies, also with hysteretic responses for repeated vibrational excitations. Since the characteristics of the rubber bushing significantly affects the accuracy of the vehicle dynamic simulation result, it should be accurately modeled in the vehicle suspension model. To develop an accurate bushing model for vehicle dynamics analysis, the bushing characteristics under several excitation inputs must be known. In this paper, a 3-axis tester was used to capture the bushing characteristics. The random inputs, sine inputs, and step inputs were imposed on each axis of the bushing. Also, two-axis inputs, the radial-axial and radial-normal inputs, were simultaneously imposed on the tester. Three-axis inputs including the radial-axial-normal direction were supplied to the tester. Bushing characteristics of each case were precisely analyzed. These results could be available for dynamic modeling of bushing.

Fault Detection System for Front-wheel Sleeving Passenger Cars

  • Kim, Hwan-Seong;You, Sam-Sang;Kim, Jin-Ho;Ha, Ju-Sik
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.45.3-45
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    • 2001
  • This paper deal with a fault detection algorithm for front wheel passenger car systems by using robust $H{\infty}$ control theory. Firstly, we present a unified formulation of vehicle dynamics for front wheel car systems and transform this formulation into state space form. Also, by considering the cornering stiffness which depends on the tyre-road contact conditions, a multiplicative uncertainty for vehicle model is described. Next, the failures of sensor and actuator for vehicle system are defined in which the fault .lter is considered. From the nominal vehicle model, an augmented system includes the multiplicative uncertainty and the model of fault filter is proposed. Lastly by using $H{\infty}$ norm property the fault detect conditions are deefi.ned, and the actuator and sensor failures are detected and isolated by designing the robust $H{\infty}$ controller, respectively.

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Effectiveness of a Vehicle Restraint System in Frontal Crash (정면 충돌시 차량 구속 시스템의 효과)

  • Lee, Dong-Jae;Oh, Kwang-Seok;Son, Kwon
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.314-314
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    • 2000
  • This study deals with the analysis of the effectiveness of a safer belt in frontal crash. ATB, Articulated Total Body, program is used as a dynamics solver of the occupant model. ATB is a public code, however, the program is somewhat cumbersome to use due to lack of sufficient user interface. A preprocessor and a postprocessor are, therefore, developed for a user friendly graphic interface in Windows environment. Dialog boxes are used for an interface with GEBOD, Generator of Body Data, for human anthropometry and with ADAMS for vehicle dynamics. It is found through three test simulations that simulated results are in good agreement with those obtained by ATB. The effect of the initial slack of safety belt is investigated for frontal crash using the developed program.

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Robust Hcontrol applied on a fixed wing unmanned aerial vehicle

  • Uyulan, Caglar;Yavuz, Mustafa Tolga
    • Advances in aircraft and spacecraft science
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    • v.6 no.5
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    • pp.371-389
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    • 2019
  • The implementation of a robust $H_{\infty}$ Control, which is numerically efficient for uncertain nonlinear dynamics, on longitudinal and lateral autopilots is realised for a quarter scale Piper J3-Cub model accepted as an unmanned aerial vehicle (UAV) under the condition of sensor noise and disturbance effects. The stability and control coefficients of the UAV are evaluated through XFLR5 software, which utilises a vortex lattice method at a predefined flight condition. After that, the longitudinal trim point is computed, and the linearization process is performed at this trim point. The "${\mu}$-Synthesis"-based robust $H_{\infty}$ control algorithm for roll, pitch and yaw displacement autopilots are developed for both longitudinal and lateral linearised nonlinear dynamics. Controller performances, closed-loop frequency responses, nominal and perturbed system responses are obtained under the conditions of disturbance and sensor noise. The simulation results indicate that the proposed control scheme achieves robust performance and guarantees stability under exogenous disturbance and measurement noise effects and model uncertainty.

Structural Stability Analysis of a Mount in 120mm Self-propelled Mortar (120밀리 자주박격포 사격 충격에 따른 마운트 구조 안정성 분석)

  • Kim, Dong-Whi
    • Journal of the Korean Society of Mechanical Technology
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    • v.20 no.6
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    • pp.836-843
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    • 2018
  • In this paper, dynamic model of 120mm self-propelled mortar is developed, and multi flexible body dynamics analysis is performed to analyze stresses occurring in the mount during mortar fire. For this, vehicle dynamic system, mortar dynamic system, and finite element mount model are proposed. The commercial program Recurdyn is used in the analysis. As a result of the analysis, the maximum stress(146.9MPa) occurred at the mount side plate. In order to analyze the validity of the analysis results, we performed strain measurement tests by selecting three major points, and the errors of results were 7.91%, 11.15%, and 18.23%, respectively. It is confirmed that the tendency of analysis and test is similar.

Vehicle Dynamic Simulation Using the Neural Network Bushing Model (인공신경망 부싱모델을 사용한 전차량 동역학 시뮬레이션)

  • 손정현;강태호;백운경
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.4
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    • pp.110-118
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    • 2004
  • In this paper, a blackbox approach is carried out to model the nonlinear dynamic bushing model. One-axis durability test is performed to describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop an empirical bushing model with an artificial neural network. The back propagation algorithm is used to obtain the weighting factor of the neural network. Since the output for a dynamic system depends on the histories of inputs and outputs, Narendra's algorithm of ‘NARMAX’ form is employed in the neural network bushing module. A numerical example is carried out to verify the developed bushing model.

Empirical Bushing Model For Vehicle Dynamic Analysis (차량동역학해석을 위한 실험적 부싱모델 개발)

  • Sohn, Jeong-Hyun;Kang, Tae-Ho;Baek, Woon-Kyung;Park, Dong-Woon;Yoo, Wan-Suk
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.864-869
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    • 2004
  • In this paper, a blackbox approach is carried out to model the nonlinear dynamic bushing model. One-axis durability test is performed to describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop an empirical bushing model with an artificial neural network. The back propagation algorithm is used to obtain the weighting factor of the neural network. Since the output for a dynamic system depends on the histories of inputs and outputs, Narendra's algorithm of 'NARMAX' form is employed in the neural network bushing module. A numerical example is carried out to verify the developed bushing model.

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An Adaptive Fuzzy Control System for the Speed Control of the Autonomous Surface Vehicle with Nonaffine Nonlinear Dynamics (비-어파인 비선형 동특성을 갖는 무인 자율 이동 보트의 속도 제어를 위한 적응 퍼지 제어 계통)

  • Park, Young-Hwan;Lee, Jae-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.1
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    • pp.1-6
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    • 2012
  • In this paper, an adaptive fuzzy control system is proposed for the speed control of the ASV (Autonomous Surface Vehicle) with nonaffine nonlinear system dynamics. We consider the turning speed of the screw propeller to be the control input instead of thrust so that we do not have to know the exact function between turning speed and thrust. But in this case, the ASV becomes a nonaffine nonlinear system because thrust is a nonlinear function of the turning speed. To solve this problem, we propose a Takagi-Sugeno fuzzy-model-based control system and simulation studies are performed. Simulation results show the effectiveness of the proposed control scheme.