Adaptive backstepping control design for active suspension systems actuated by four-way valve-piston

Savas, Yagiz; Baştürk, Halil İbrahim

doi:10.23919/acc.2017.7962992

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…At present, most suspension related research uses the quarter-car model with two degrees of freedom (DOFs) as the basis of controller design and few of them apply the designed control method to physical simulation (Huang et al, 2018;Savas and Basturk, 2017). In comparison, the full-car model reflects the dynamic characteristics of the vehicle more completely; meanwhile, it will bring more complexity to research because of the coupling between force and vehicle motion (Mohamed and Abdullah, 2011;Roshan and Shankar, 2012;Sun et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Extended state observer–based backstepping fast terminal sliding mode control for active suspension vibration

Wang

Chang

Tian

2020

Journal of Vibration and Control

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In this study, an extended state observer–based backstepping fast terminal sliding mode control is developed for the ride comfort of a full-car active suspension system. In the referred extended state observer–based backstepping fast terminal sliding mode control, the extended state observer is designed to estimate the lumped disturbances of external road excitation and uncertain dynamics. Then, a backstepping fast terminal sliding mode controller is used to track the desired trajectory reference which is obtained via a nonlinear filter. A virtual prototype of vehicle suspension is also built on ADAMS software as the simulated real-time controlled system. The co-simulation results of MATLAB/Simulink+ADAMS show that the proposed controller has better performance than the passive suspension and the active suspension using the traditional backstepping method whether under random road or bumpy road.

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Section: Introductionmentioning

confidence: 99%

Extended state observer–based backstepping fast terminal sliding mode control for active suspension vibration

Wang

Chang

Tian

2020

Journal of Vibration and Control

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“…Sun et al (2014) presented a barrier Lyapunov function, which allows for the design of a low-conservatism nonlinear control technique with an enhanced ability to offer passenger comfort. Savas and Basturk (2017) considered unknown body mass and tyre dynamics with a disturbance observer in the controller synthesis. The uncertainty of spring and damper coefficients was studied by Huang et al (2018).…”

Section: Introductionmentioning

confidence: 99%

“…All the articles discussed above have made a significant contribution to the literature. Among these, the ones by Savas and Basturk (2017), Sun et al (2013, 2014) and Yagiz and Hacioglu (2008) are particularly fascinating and promising in terms of considering the parametric uncertainty, the road disturbance observer and state derivative feedback. However, the combination of these three important factors is not taken into consideration simultaneously.…”

Section: Introductionmentioning

confidence: 99%

An adaptive control approach for semi-active suspension systems under unknown road disturbance input using hardware-in-the-loop simulation

Kararsiz

Paksoy

Metin

et al. 2020

Transactions of the Institute of Measurement and Control

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This article presents an application of the adaptive control method to semi-active suspension systems in the presence of unknown disturbance and parametric uncertainty. Due to the technical difficulties such as time delay and sensor noise, the road disturbance is assumed to be unmeasured. To overcome this problem, an observer is designed to estimate the disturbance. It is considered that the road profile consists of a finite number of the sum of sinusoidal signals with unknown amplitudes, phases and frequencies. After the parametrization of the observer, the adaptive control approach is employed to attenuate the effect of the road-induced vibrations using a magnetorheological damper. It is proved that the closed-loop system is stable, despite the adverse road conditions. Finally, the performance of the controller is illustrated with a hardware-in-the-loop simulation in which the system is subjected to sinusoidal and random profile road excitations. To demonstrate the benefits of the adaptive controller, the results are presented in comparison with a conventional proportional integral derivative (PID) controller.

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Optimal Sliding Mode Control Method for Active Suspension Control

Bayar

Khaneghah

2020

IFAC-PapersOnLine

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Adaptive backstepping control design for active suspension systems actuated by four-way valve-piston

Cited by 4 publications

References 16 publications

Extended state observer–based backstepping fast terminal sliding mode control for active suspension vibration

Extended state observer–based backstepping fast terminal sliding mode control for active suspension vibration

An adaptive control approach for semi-active suspension systems under unknown road disturbance input using hardware-in-the-loop simulation

Optimal Sliding Mode Control Method for Active Suspension Control

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