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Wyświetlanie 1-2 z 2
Tytuł:
NFTSM control of direct yaw moment for autonomous electric vehicles with consideration of tire nonlinear mechanical properties
Autorzy:
Sun, Xiaoqiang
Wang, Yujun
Cai, Yingfeng
Wong, Pak Kin
Chen, Long
Powiązania:
https://bibliotekanauki.pl/articles/2173619.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
autonomous electric vehicles
direct yaw moment control
DYC
tire nonlinear mechanical properties
nonsingular fast terminal sliding mode
NFTSM
trust-region interior-point method
pojazd elektryczny autonomiczny
kontrola momentu odchylenia bezpośrednia
właściwości mechaniczne opon nieliniowe
niesingularny tryb szybkiego przesuwania terminala
metoda punktu wewnętrznego regionu zaufania
Opis:
To improve the curve driving stability and safety under critical maneuvers for four-wheel-independent drive autonomous electric vehicles, a three-stage direct yaw moment control (DYC) strategy design procedure is proposed in this work. The first stage conducts the modeling of the tire nonlinear mechanical properties, i.e. the coupling relationship between the tire longitudinal force and the tire lateral force, which is crucial for the DYC strategy design, in the STI (Systems Technologies Inc.) form based on experimental data. On this basis, a 7-DOF vehicle dynamics model is established and the direct yaw moment calculation problem of the four-wheel-independent drive autonomous electric vehicle is solved through the nonsingular fast terminal sliding mode (NFTSM) control method, thus the optimal direct yaw moment can be obtained. To achieve this direct yaw moment, an optimal allocation problem of the tire forces is further solved by using the trust-region interior-point method, which can effectively guarantee the solving efficiency of complex optimization problem like the tire driving and braking forces allocation of four wheels in this work. Finally, the effectiveness of the DYC strategy proposed for the autonomous electric vehicles is verified through the CarSim-Simulink co-simulation results.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137065
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
NFTSM control of direct yaw moment for autonomous electric vehicles with consideration of tire nonlinear mechanical properties
Autorzy:
Sun, Xiaoqiang
Wang, Yujun
Cai, Yingfeng
Wong, Pak Kin
Chen, Long
Powiązania:
https://bibliotekanauki.pl/articles/2128162.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
autonomous electric vehicles
direct yaw moment control
DYC
tire nonlinear mechanical properties
nonsingular fast terminal sliding mode
NFTSM
trust-region interior-point method
pojazd elektryczny autonomiczny
kontrola momentu odchylenia bezpośrednia
właściwości mechaniczne opon nieliniowe
niesingularny tryb szybkiego przesuwania terminala
metoda punktu wewnętrznego regionu zaufania
Opis:
To improve the curve driving stability and safety under critical maneuvers for four-wheel-independent drive autonomous electric vehicles, a three-stage direct yaw moment control (DYC) strategy design procedure is proposed in this work. The first stage conducts the modeling of the tire nonlinear mechanical properties, i.e. the coupling relationship between the tire longitudinal force and the tire lateral force, which is crucial for the DYC strategy design, in the STI (Systems Technologies Inc.) form based on experimental data. On this basis, a 7-DOF vehicle dynamics model is established and the direct yaw moment calculation problem of the four-wheel-independent drive autonomous electric vehicle is solved through the nonsingular fast terminal sliding mode (NFTSM) control method, thus the optimal direct yaw moment can be obtained. To achieve this direct yaw moment, an optimal allocation problem of the tire forces is further solved by using the trust-region interior-point method, which can effectively guarantee the solving efficiency of complex optimization problem like the tire driving and braking forces allocation of four wheels in this work. Finally, the effectiveness of the DYC strategy proposed for the autonomous electric vehicles is verified through the CarSim-Simulink co-simulation results.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137065, 1--13
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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