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  • SAGE Publications  (4)
  • English  (4)
  • Engineering  (4)
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  • SAGE Publications  (4)
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  • English  (4)
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  • Engineering  (4)
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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications
    Abstract: Due to tire force coupling and load transfer coupling during the stability control process, the vehicle longitudinal and lateral dynamics shows particularly obvious nonlinear coupling characteristics, which will deteriorate the performance of the stability controller. This paper proposes a Vehicle Stability Controller considering the vehicle longitudinal and lateral coupling characteristics. First, a piecewise guidance method, including the Adaptive Linear Regression Algorithm and Dimensionless Performance Evaluation Weighting Function, is developed to ensure the Takagi-Sugeno fuzzy model piecewise approaches the nonlinear characteristics of the original system and obtains the multiple linear fuzzy subsystems. Then, an H∞ robust controller with dynamic output feedback is used in each fuzzy subsystem based on the identification result of the driving intention, and the Linear Matrix Inequality is applied to obtain the controller gains. Subsequently, the Parallel Distributed Compensation architecture is adopted to integrate the outputs of all fuzzy subsystems, and vehicle stability controller is realized by using a rule-based control distribution strategy. The proposed controller is evaluated by simulations and hardware in the loop tests, and the results demonstrate satisfactory longitudinal following ability and lateral stability.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2032754-7
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2016
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 230, No. 12 ( 2016-10), p. 1585-1604
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications, Vol. 230, No. 12 ( 2016-10), p. 1585-1604
    Abstract: Traction control, which can be performed by different types of chassis control system, plays an important role in vehicle motion control. Since the propulsive force is actually produced by the friction between the tyre and road, information on the tyre–road friction is crucial for traction control. In this paper, a robust and effective tyre–road friction coefficient identification algorithm for straight acceleration is proposed, and a coordinative traction control method is designed by integrated usage of gear shifting control, engine control and braking control. For different driving conditions, the tyre forces were observed by a sliding-mode observer or calculated from the states of the vehicle directly, and the tyre–road friction coefficients were estimated by the recursive least-squares method or calculated from the linear characteristics between the friction coefficient and the slip ratio consequently. Based on the estimated tyre–road information, a practical and systematic coordinative traction control algorithm was designed to integrate shifting control, engine torque control and braking pressure control. Finally, the proposed methods are verified by both simulations and road tests. The results show that the estimation algorithms can identify the variation in the road conditions with considerable accuracy and response speed, and the controller successfully adjusted the slip ratios of the driving wheels in the stable region with good performances on different types of road.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2032754-7
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications
    Abstract: When the mountain tractor is along the slope contour operation, the driving wheel will cause a longitudinal or lateral slip due to complex driving conditions. In order to investigate the influence law between the longitudinal slip, lateral slip, and deflection slip, the parametrically modified wheel-soil model, dynamics model, and motion trajectory model were established, and the tractor lateral slope simulation model was built based on MATLAB/Simulink and CarSim software. The simulation results show that load traction has the most significant effect on the longitudinal slip rate, lateral slope variation has the most significant impact on the side-slip angle and lateral slip rate, and the lateral slope and load traction together affect the yaw angle and deflection slip rate. When the lateral slope is 15°, the tractor longitudinal speed of 3 and 6 km/h can maintain lateral stability of the longitudinal slip rate of 0.39 and 0.25, respectively. In order to verify the accuracy of the simulation model, the test platform was built. The results show that the average errors of the absolute values of left longitudinal slip rate, right longitudinal slip rate, yaw angle, and side-slip angle are 14.47%, 13.06%, 12.27%, and 11.04%, respectively. To sum up, the extreme driving conditions of the tractor will aggravate the longitudinal slip of the driving wheel, which in turn affects the lateral slip and deflection slip, and should be controlled to avoid tractor instability.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2032754-7
    Location Call Number Limitation Availability
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  • 4
    In: Textile Research Journal, SAGE Publications, Vol. 83, No. 6 ( 2013-04), p. 553-565
    Abstract: Theoretical ternary phase diagrams with good agreement with experiment cloud point data were constructed for a btda-tdi/mdi (p84) co-polyimide/N-methyl-2-pyrrolidinone (NMP)/water system. The theoretical phase diagram was calculated based on the Flory–Huggins theory of polymer solution. To construct the theoretical phase diagrams, all the binary interaction parameters were determined accurately. The water–P84 co-polyimide interaction parameter (χ 13 ) and the nmp-p84 co-polyimide interaction parameter (χ 23 ) were calculated from solubility parameters theoretically and determined by equilibrium swelling experiment and intrinsic viscosity measurement, respectively. The water–NMP interaction parameter ( g 12 ) was calculated by the universe sichemical functional group activity coefficient method. According to the theoretical binodals, spinodals and critical points of the p84 co-polyimide/nmp/water system at different temperatures, we conclude that the effect of temperature on the position of binodal curves was small; this phenomenon is similar to the results of the cloud point titration experiment at different temperatures. The study also found that the p84 co-polyimide fractions of both theoretical critical points and experimental critical points are lower (less than 4 wt%), that is, the spinning or coating solution will be demixed by nucleation and the growth mechanism at the early stage of the forming process.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2209596-2
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