Skip to main content

2024 | OriginalPaper | Buchkapitel

Attitude Control of Active Suspension All-Terrain Vehicle Based on LQR

verfasst von : Liang Wu, Shucheng Li, Guangjian Xu, Weizhou Zhang, Weiwei Jia

Erschienen in: Proceedings of China SAE Congress 2023: Selected Papers

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In order to enhance the attitude control ability of all-terrain vehicles in complex terrain, a dual closed-loop control strategy based on LQR controller is designed with series active suspension all-terrain vehicles as the research object. Firstly, considering the kinematic and dynamic relationships between each mechanism of the all-terrain vehicle, a vehicle dynamic model based on the speed control of the actuator is constructed on the basis of the traditional active suspension force control. Secondly, a terrain estimation algorithm based on all-terrain vehicle model is studied, and a LQR controller suitable for attitude adjustment is designed. Finally, three pavement models are established to simulate real road conditions for verifying the accuracy of the dynamic model with terrain estimation model and the effectiveness of attitude control. The results show that the collaborative control strategy proposed in this paper has good adaptability to working conditions, and the peak and Root mean square values of vertical displacement, pitch angle and roll angle of all-terrain vehicle body are reduced by 30–50%, which can greatly improve the ride comfort and attitude stability of all-terrain vehicle.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Feng, Y., Xian, Q.: Development and application of testing system for vibration and ride comfort of all-terrain vehicle. Noise Vibr. Worldwide 50(8), 239–244 (2019)CrossRef Feng, Y., Xian, Q.: Development and application of testing system for vibration and ride comfort of all-terrain vehicle. Noise Vibr. Worldwide 50(8), 239–244 (2019)CrossRef
2.
Zurück zum Zitat Chen, J., Cheng, J., Nie, Y.: Roll control of vehicle active suspension under steering condition. Automot. Eng. (5), 616–620 (2014) Chen, J., Cheng, J., Nie, Y.: Roll control of vehicle active suspension under steering condition. Automot. Eng. (5), 616–620 (2014)
3.
Zurück zum Zitat Yao, J., Wang, M., Li, Z.H., Ren, S., Sun, N.: Research on automobile active roll control based on active suspension. J. Mech. Strength 40(3), 534–539 (2018) Yao, J., Wang, M., Li, Z.H., Ren, S., Sun, N.: Research on automobile active roll control based on active suspension. J. Mech. Strength 40(3), 534–539 (2018)
4.
Zurück zum Zitat Liang, W., Ahmac, E., Khan, M.A., et al.: Integration of active tilting control and full-wheel steering control system on vehicle lateral performance. Int. J. Automot. Technol.Automot. Technol. 22, 979–992 (2021)CrossRef Liang, W., Ahmac, E., Khan, M.A., et al.: Integration of active tilting control and full-wheel steering control system on vehicle lateral performance. Int. J. Automot. Technol.Automot. Technol. 22, 979–992 (2021)CrossRef
5.
Zurück zum Zitat Meng, A., Wang, L., Yang, J.: A study on slow-active suspension system based on output-feedback control. Veh. Power Technol. (003), 36–40 (2002) Meng, A., Wang, L., Yang, J.: A study on slow-active suspension system based on output-feedback control. Veh. Power Technol. (003), 36–40 (2002)
6.
Zurück zum Zitat van der Westhuizen, S.F., Els, P.S.: Slow active suspension control for rollover prevention. J. Terrramech.Terrramech. 50(1), 29–36 (2013)CrossRef van der Westhuizen, S.F., Els, P.S.: Slow active suspension control for rollover prevention. J. Terrramech.Terrramech. 50(1), 29–36 (2013)CrossRef
7.
Zurück zum Zitat Saibal, M., et al.: Ant colony optimization tuned closed-loop optimal control intended for vehicle active suspension system. IEEE Access 10, 53735–53745 (2022)CrossRef Saibal, M., et al.: Ant colony optimization tuned closed-loop optimal control intended for vehicle active suspension system. IEEE Access 10, 53735–53745 (2022)CrossRef
8.
Zurück zum Zitat Pang, H., Iang, J., Wang, J.: Adaptive fuzzy sliding mode control for vehicle active suspension systems considering system uncertainty. J. Vibr. Shock 37(15), 261–269 (2018) Pang, H., Iang, J., Wang, J.: Adaptive fuzzy sliding mode control for vehicle active suspension systems considering system uncertainty. J. Vibr. Shock 37(15), 261–269 (2018)
9.
Zurück zum Zitat Elmadany, M.M., Al Bassam, B.A., Fayed, A.A.: Preview control of slow-active suspension systems. J. Vibr. Control 17(2), 245–258 (2011)MathSciNetCrossRef Elmadany, M.M., Al Bassam, B.A., Fayed, A.A.: Preview control of slow-active suspension systems. J. Vibr. Control 17(2), 245–258 (2011)MathSciNetCrossRef
10.
Zurück zum Zitat Patra, A.K., Mishra, A.K., Agrawal, R.: Fuzzy logic controller design for stabilizing and trajectory tracking of vehicle suspension system. Smart Innov. Syst. Technol. 194, 575–587 (2021)CrossRef Patra, A.K., Mishra, A.K., Agrawal, R.: Fuzzy logic controller design for stabilizing and trajectory tracking of vehicle suspension system. Smart Innov. Syst. Technol. 194, 575–587 (2021)CrossRef
11.
Zurück zum Zitat Gu, C., Yin, J., Chen, X.: Robust control and optimization of a rocker-pushrod electromagnetic active suspension. Automot. Eng.. Eng. 40(1), 34–40 (2018) Gu, C., Yin, J., Chen, X.: Robust control and optimization of a rocker-pushrod electromagnetic active suspension. Automot. Eng.. Eng. 40(1), 34–40 (2018)
12.
Zurück zum Zitat Du, M.M., Zhao, D.X., Yang, B., et al.: Terminal sliding mode control for full vehicle active suspension systems. J. Mech. Sci. Technol. 32(6), 2851–2866 (2018)CrossRef Du, M.M., Zhao, D.X., Yang, B., et al.: Terminal sliding mode control for full vehicle active suspension systems. J. Mech. Sci. Technol. 32(6), 2851–2866 (2018)CrossRef
13.
Zurück zum Zitat Taghavifar, H.: Reduced vibration of off-road vehicle nonlinear suspension system using an adaptive integral sliding mode-neural network controller. Int. J. Dyn. Control 8, 291–301 (2019)MathSciNetCrossRef Taghavifar, H.: Reduced vibration of off-road vehicle nonlinear suspension system using an adaptive integral sliding mode-neural network controller. Int. J. Dyn. Control 8, 291–301 (2019)MathSciNetCrossRef
14.
Zurück zum Zitat Nguyen, T.A.: Control an active suspension system by using PID and LQR controller. Int. J. Mech. Prod. Eng. Res. Dev. 10(3), 7003–7012 (2020) Nguyen, T.A.: Control an active suspension system by using PID and LQR controller. Int. J. Mech. Prod. Eng. Res. Dev. 10(3), 7003–7012 (2020)
15.
Zurück zum Zitat ElMadany, M.M., Qarmoush, A.O.: Dynamic analysis of a slow-active suspension system based on a full car model. J. Vib. ControlVib. Control 17(1), 39–53 (2011)CrossRef ElMadany, M.M., Qarmoush, A.O.: Dynamic analysis of a slow-active suspension system based on a full car model. J. Vib. ControlVib. Control 17(1), 39–53 (2011)CrossRef
16.
Zurück zum Zitat GB/T 4970-2009. Method of running test—Automotive ride comfort (1985) GB/T 4970-2009. Method of running test—Automotive ride comfort (1985)
17.
Zurück zum Zitat Dai, H., Wang, X.: Simulation of PID control for intelligent rail vehicles under LQR optimization. J. Qiqihar Univ. (Nat. Sci. Ed.) 34(2), 11–17 (2018)MathSciNet Dai, H., Wang, X.: Simulation of PID control for intelligent rail vehicles under LQR optimization. J. Qiqihar Univ. (Nat. Sci. Ed.) 34(2), 11–17 (2018)MathSciNet
Metadaten
Titel
Attitude Control of Active Suspension All-Terrain Vehicle Based on LQR
verfasst von
Liang Wu
Shucheng Li
Guangjian Xu
Weizhou Zhang
Weiwei Jia
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0252-7_31

    Premium Partner