The Experts below are selected from a list of 1545 Experts worldwide ranked by ideXlab platform

Mingming Dong - One of the best experts on this subject based on the ideXlab platform.

  • fuzzy observer based prescribed performance control of vehicle roll behavior via controllable damper
    IEEE Access, 2019
    Co-Authors: Zhenfeng Wang, Yechen Qin, Mingming Dong
    Abstract:

    This paper presents a novel observer-based control strategy to improve the vehicle roll behavior performance through magneto-rheological (MR) dampers under Steering Wheel Input and various road excitation conditions. Since the vehicle roll with sudden Steering Input is an essential part of driving safety and possesses inherent nonlinearities, the full-car nonlinear Takagi-Sugeno (T-S) fuzzy model is first established to describe the vehicle roll dynamics considering nonlinear coupling dynamics of tire lateral force and MR damper force under road excitation Input. Furthermore, a T-S model-based fuzzy observer is adapted to estimate the vehicle roll angle and roll rate. The stability conditions for the used T-S observer are calculated using linear matrix inequalities (LMIs), and the proposed observer is induced by solving the proposed LMI. Based on the Lyapunov function, sliding mode theory and prescribed performance function, a novel state observer-based prescribed performance control strategy is developed to constrain the controlled vehicle roll angle and roll rate state within the prescribed performance boundaries. Finally, the proposed techniques are validated through the J-turn and Fishhook tests conducted via a high-fidelity CarSim software platform.

  • influence of road excitation and Steering Wheel Input on vehicle system dynamic responses
    Applied Sciences, 2017
    Co-Authors: Zhenfeng Wang, Mingming Dong, Liang Gu, Jagatjyoti Rath
    Abstract:

    Considering the importance of increasing driving safety, the study of safety is a popular and critical topic of research in the vehicle industry. Vehicle roll behavior with sudden Steering Input is a main source of untripped rollover. However, previous research has seldom considered road excitation and its coupled effect on vehicle lateral response when focusing on lateral and vertical dynamics. To address this issue, a novel method was used to evaluate effects of varying road level and Steering Wheel Input on vehicle roll behavior. Then, a 9 degree of freedom (9-DOF) full-car roll nonlinear model including vertical and lateral dynamics was developed to study vehicle roll dynamics with or without of road excitation. Based on a 6-DOF half-car roll model and 9-DOF full-car nonlinear model, relationship between three-dimensional (3-D) road excitation and various Steering Wheel Inputs on vehicle roll performance was studied. Finally, an E-Class (SUV) level car model in CARSIM® was used, as a benchmark, with and without road Input conditions. Both half-car and full-car models were analyzed under Steering Wheel Inputs of 5°, 10° and 15°. Simulation results showed that the half-car model considering road Input was found to have a maximum accuracy of 65%. Whereas, the full-car model had a minimum accuracy of 85%, which was significantly higher compared to the half-car model under the same scenario.

Dostál Marek - One of the best experts on this subject based on the ideXlab platform.

  • Concept Study of Rear Wheel Steering
    Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020
    Co-Authors: Dostál Marek
    Abstract:

    This bachelor’s thesis is focused on study of rear Wheel Steering system used on Formula Student car. Construction of the mechanism is based on calculations of forces acting on tire during various driving situations. Dual system using two electric actuators was chosen for this application. This solution allows turning each Wheel independently. Actuators were designed as a part of the toe rod. Also Steering function concept based on vehicle speed and Steering Wheel Input was designed with aim to compensate chassis side slip angle. In the end, multibody simulations of the designed system are made with assessment to performance benefit

  • Concept Study of Rear Wheel Steering
    Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020
    Co-Authors: Dostál Marek
    Abstract:

    Tato závěrečná práce se zabývá možností využití systému aktivního řízení kol zadní nápravy u vozidla Formula Student. Součástí práce je konstrukční řešení systému na základě analýzy silových působení při různých jízdních stavech. Byl zvolen tzv. duální koncept s nezávislým řízením každého kola zvlášť pomocí dvou elektrických aktuátorů. Aktuátory jsou konstruovány jako součást tyče řízení (tzv. toe rodu). Dále je navržena řídicí funkce pro natáčení kol v závislosti na rychlosti jízdy a natočení volantu s cílem kompenzace směrové úchylky těžiště vozidla. Na závěr jsou provedeny simulace navrženého systému, na jejichž výsledku je zhodnocen vliv na chování vozidla a celkový přínos.This bachelor’s thesis is focused on study of rear Wheel Steering system used on Formula Student car. Construction of the mechanism is based on calculations of forces acting on tire during various driving situations. Dual system using two electric actuators was chosen for this application. This solution allows turning each Wheel independently. Actuators were designed as a part of the toe rod. Also Steering function concept based on vehicle speed and Steering Wheel Input was designed with aim to compensate chassis side slip angle. In the end, multibody simulations of the designed system are made with assessment to performance benefit.

Nijmeijer H Henk - One of the best experts on this subject based on the ideXlab platform.

  • In vehicle truck Steering-system modeling and validation
    2017
    Co-Authors: Loof J Jan, Besselink, Ijm Igo, Nijmeijer H Henk
    Abstract:

    In this paper a multi-body 44-DOF tractor semi-trailer model is coupled to a 4-DOF Steeringsystem\u3cbr/\u3ewhich includes friction and hydraulic power-Steering. An extended Wheel hub geometry is used to provide the correct feedback torque from the Wheels. A tie-rod with stiffness has been included to connect left and right. An instrumented tractor semi-trailer is used to verify the Steering-system model predictions during driving. The focus lies on the prediction of the Steering-Wheel torque and the vehicle velocity and Steering-Wheel angle are prescribed as an Input for the simulation. Two tests are discussed in this paper, a J-turn at 80 km/h and sinusoidal Steering-Wheel Input with a frequency of 0.4 Hz at 65 km/h. The comparison of the measured signals and the predicted values shows that the Steering-system model is accurate. The non-linearities caused by friction and hydraulic assistance system can clearly be seen in both the measurement and the simulation

Nijmeijer H. - One of the best experts on this subject based on the ideXlab platform.

  • In vehicle truck Steering-system modeling and validation
    2017
    Co-Authors: Loof J., Besselink I.j.m., Nijmeijer H.
    Abstract:

    In this paper a multi-body 44-DOF tractor semi-trailer model is coupled to a 4-DOF Steeringsystem which includes friction and hydraulic power-Steering. An extended Wheel hub geometry is used to provide the correct feedback torque from the Wheels. A tie-rod with stiffness has been included to connect left and right. An instrumented tractor semi-trailer is used to verify the Steering-system model predictions during driving. The focus lies on the prediction of the Steering-Wheel torque and the vehicle velocity and Steering-Wheel angle are prescribed as an Input for the simulation. Two tests are discussed in this paper, a J-turn at 80 km/h and sinusoidal Steering-Wheel Input with a frequency of 0.4 Hz at 65 km/h. The comparison of the measured signals and the predicted values shows that the Steering-system model is accurate. The non-linearities caused by friction and hydraulic assistance system can clearly be seen in both the measurement and the simulation

Zhenfeng Wang - One of the best experts on this subject based on the ideXlab platform.

  • fuzzy observer based prescribed performance control of vehicle roll behavior via controllable damper
    IEEE Access, 2019
    Co-Authors: Zhenfeng Wang, Yechen Qin, Mingming Dong
    Abstract:

    This paper presents a novel observer-based control strategy to improve the vehicle roll behavior performance through magneto-rheological (MR) dampers under Steering Wheel Input and various road excitation conditions. Since the vehicle roll with sudden Steering Input is an essential part of driving safety and possesses inherent nonlinearities, the full-car nonlinear Takagi-Sugeno (T-S) fuzzy model is first established to describe the vehicle roll dynamics considering nonlinear coupling dynamics of tire lateral force and MR damper force under road excitation Input. Furthermore, a T-S model-based fuzzy observer is adapted to estimate the vehicle roll angle and roll rate. The stability conditions for the used T-S observer are calculated using linear matrix inequalities (LMIs), and the proposed observer is induced by solving the proposed LMI. Based on the Lyapunov function, sliding mode theory and prescribed performance function, a novel state observer-based prescribed performance control strategy is developed to constrain the controlled vehicle roll angle and roll rate state within the prescribed performance boundaries. Finally, the proposed techniques are validated through the J-turn and Fishhook tests conducted via a high-fidelity CarSim software platform.

  • influence of road excitation and Steering Wheel Input on vehicle system dynamic responses
    Applied Sciences, 2017
    Co-Authors: Zhenfeng Wang, Mingming Dong, Liang Gu, Jagatjyoti Rath
    Abstract:

    Considering the importance of increasing driving safety, the study of safety is a popular and critical topic of research in the vehicle industry. Vehicle roll behavior with sudden Steering Input is a main source of untripped rollover. However, previous research has seldom considered road excitation and its coupled effect on vehicle lateral response when focusing on lateral and vertical dynamics. To address this issue, a novel method was used to evaluate effects of varying road level and Steering Wheel Input on vehicle roll behavior. Then, a 9 degree of freedom (9-DOF) full-car roll nonlinear model including vertical and lateral dynamics was developed to study vehicle roll dynamics with or without of road excitation. Based on a 6-DOF half-car roll model and 9-DOF full-car nonlinear model, relationship between three-dimensional (3-D) road excitation and various Steering Wheel Inputs on vehicle roll performance was studied. Finally, an E-Class (SUV) level car model in CARSIM® was used, as a benchmark, with and without road Input conditions. Both half-car and full-car models were analyzed under Steering Wheel Inputs of 5°, 10° and 15°. Simulation results showed that the half-car model considering road Input was found to have a maximum accuracy of 65%. Whereas, the full-car model had a minimum accuracy of 85%, which was significantly higher compared to the half-car model under the same scenario.