Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

Sun, Xiaoyun; Cai, Yingfeng; Yuan, Chaochun; Wang, Shaohua; Chen, Long

doi:10.1186/s10033-018-0223-8

Cited by 28 publications

(20 citation statements)

References 30 publications

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“…There are several sign functions in u s , the controller will chatter when the system near the expected angles, which is because the sign will switch regularly. This problem also exists in SMC, and many researchers proposed practical approaches to deal with it [29][30] . This paper refers to the work in [31] using a smooth function to replace the initial function, see as (16).…”

Section: B Proposed Sdcmentioning

confidence: 99%

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State Damping Control: A Novel Simple Method of Rotor UAV With High Performance

Liu

Shi

et al. 2020

IEEE Access

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Sliding Mode Control and Adaptive Control are widely studied in the area of Rotor UAV in recent years. Although the performance of Rotor UAV with these controllers show high command tracking ability and good robustness, they are limited by model accuracy so that they cannot take place PID. In this paper, a novel method named State damping control is proposed to be a candidate for the traditional PID method. Our proposed State Damping Control is inspired by the format of air resistance. The method is based on the general idea that resistance will make a system easy to stabilize. State damping control is independent of model accuracy and just uses three parameters to control attitude, so it is easy to realize. Krasovskii Theorem is used to give the evidence that State damping control is asymptotic stable in our considered state space. Finally, simulations are implemented in C++ on VS2017, it demonstrates that State damping control is easy to be tuned and robust to wind attack and inertial parameters. Compared with PID, our proposed method is robust to wind disturbances obviously.

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Section: B Proposed Sdcmentioning

confidence: 99%

“…If (29) is satisfied, the closed-loop system described by (9) and 18 31, we can estimate that z 1 >0. The first two terms of (29) can be neglected when the angular velocity ω z is small, and this treatment is conservative.…”

Section: B Simulation Parametersmentioning

confidence: 99%

State Damping Control: A Novel Simple Method of Rotor UAV With High Performance

Liu

Shi

et al. 2020

IEEE Access

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“…Among them, the SMC method has been widely applied due to its strong robustness against uncertainties and disturbance. However, the traditional SMC method still has drawbacks that limit its performance in real applications, thus much effort has been devoted to finding effective solutions to eliminate those drawbacks [18][19][20]. Based on the conclusions of the existing research, the adaptive nonsingular fast terminal sliding mode (ANFTSM) control method, which can both obtain fast finite time convergence and chattering elimination [21,22], is applied in this work to effectively solve the direct yaw moment calculation problem of bus.…”

Section: Introductionmentioning

confidence: 99%

An adaptive nonsingular fast terminal sliding mode control for yaw stability control of bus based on STI tire model

Sun

Wang

Cai

et al. 2020

Preprint

Self Cite

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In this paper, a novel adaptive nonsingular fast terminal sliding mode (ANFTSM) control scheme for yaw stability control (YSC) is proposed to improve the bus curve driving stability and safety on slippery roads. There are three major contributions in the design process of the bus YSC system. The first contribution is that the STI (Systems Technologies Inc.) tire model, which can effectively reflect the coupling relationship between the tire longitudinal force and lateral force, is established based on experimental data and firstly adopted in the bus YSC system design. The second contribution is a novel YSC strategy based on ANFTSM, which has the merits of fast transient response, finite time convergence and high robustness against uncertainties and external disturbances. The third contribution is that the robust least-squares allocation method is used to solve the optimal allocation problem of the tire forces, whose objective is to achieve the desired direct yaw moment through the effective distribution of the brake force of each tire. To verify the feasibility, effectiveness and practicality of the proposed bus YSC approach, the TruckSim-Simulink co-simulation results are finally provided.

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“…By employing the sliding mode control (SMC) technique, nonlinear controllers were proposed in [14], [17]- [19], achieving asymptotic stability. However, the authors relax the matching condition for robustness in the existence of unmodeled dynamics and parametric uncertainties at the expense of high gain feedback, making the controllers prone to chattering.…”

Section: Introductionmentioning

confidence: 99%

Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties

Zhao¹,

Xie

Wong³

et al. 2019

IEEE Access

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This paper addresses the problem of ride height tracking for an electronically-controlled active air suspension (AAS) system in the presence of parametric uncertainties and unmodeled dynamics. A mathematical model of a quarter vehicle with AAS system is first built on the basis of thermodynamics to describe the dynamic characteristics. Then, by employing the backstepping technique, a novel height tracking controller is proposed in order to guarantee that 1) the ride height of a vehicle can converge on a neighborhood of the desired height, achieving global uniform ultimate boundedness (GUUB); 2) the controller is robust to the parametric uncertainties by designing parameter estimators and introducing some conservativeness in the control law to dominate the unmodeled dynamics. Moreover, a group of smooth projectors is used to ensure all estimates remain within predefined corresponding bounds. To validate the efficiency and performance of the proposed strategy, the simulation and experimental results are presented and analyzed, showing that the proposed control strategy is superior to the PID controller and the recently proposed hybrid model predictive controller. INDEX TERMS Active air suspension, pneumatic system, automobile height control, robust control, parameter estimation.

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Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

Cited by 28 publications

References 30 publications

State Damping Control: A Novel Simple Method of Rotor UAV With High Performance

State Damping Control: A Novel Simple Method of Rotor UAV With High Performance

An adaptive nonsingular fast terminal sliding mode control for yaw stability control of bus based on STI tire model

Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties

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