Sliding Mode Control for Active Suspension System with Data Acquisition Delay

Alves, Uiliam Nelson Lendzion Tomaz; Garcia, J. M.; Teixeira, Marcelo Carvalho Minhoto; Garcia, Saulo Crnkowise; Rodrigues, Fernando B.

doi:10.1155/2014/529293

Cited by 22 publications

(19 citation statements)

References 23 publications

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“…For a nonlinear active suspension system with bounded uncertainty and external disturbance, the sliding mode control (SMC) has the advantage of robustness to improve the antidisturbance ability of the system. In [16], the state predictors along with SMC technique are applied to active suspension system, which consider the time delay of the data transmission. Mixed control strategies are proposed in [17], and an enhanced adaptive self-fuzzy sliding mode controller for a quarter-car active suspension system is presented.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Neural-Sliding Mode Control of Active Suspension System for Camera Stabilization

Zhao

Dong

Qin

et al. 2015

Shock and Vibration

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The camera always suffers from image instability on the moving vehicle due to the unintentional vibrations caused by road roughness. This paper presents a novel adaptive neural network based on sliding mode control strategy to stabilize the image captured area of the camera. The purpose is to suppress vertical displacement of sprung mass with the application of active suspension system. Since the active suspension system has nonlinear and time varying characteristics, adaptive neural network (ANN) is proposed to make the controller robustness against systematic uncertainties, which release the model-based requirement of the sliding model control, and the weighting matrix is adjusted online according to Lyapunov function. The control system consists of two loops. The outer loop is a position controller designed with sliding mode strategy, while the PID controller in the inner loop is to track the desired force. The closed loop stability and asymptotic convergence performance can be guaranteed on the basis of the Lyapunov stability theory. Finally, the simulation results show that the employed controller effectively suppresses the vibration of the camera and enhances the stabilization of the entire camera, where different excitations are considered to validate the system performance.

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Section: Introductionmentioning

confidence: 99%

Adaptive Neural-Sliding Mode Control of Active Suspension System for Camera Stabilization

Zhao

Dong

Qin

et al. 2015

Shock and Vibration

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“…where ρ is a positive constant. To reduce the effect of chattering in the control law (36), a modified control law is used (Alves et al, 2014) u n ðtÞ ¼ Àρ…”

Section: Smcmentioning

confidence: 99%

“…Numerous advanced control strategies such as sliding mode control (SMC), H-infinity, fuzzy, and backstepping (Rath et al, 2015) have been proposed for the vibration control of active suspension systems in the literature (Alves et al, 2014; Trikande et al, 2018). SMC in combination with the inertial delay observer is proposed in Gupta et al (2016), where uncertainties are canceled out, and states are observed simultaneously, thus reducing the sensor requirement.…”

Section: Introductionmentioning

confidence: 99%

Design and performance comparison of interconnection and damping assignment passivity-based control for vibration suppression in active suspension systems

Sistla

Figarado

Chemmangat

et al. 2020

Journal of Vibration and Control

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This study presents the design of interconnection and damping assignment passivity-based control for active suspension systems. It is well known that interconnection and damping assignment passivity-based control’s design methodology is based on the physical properties of the system where the kinetic and potential energy profiles are shaped, and asymptotic stability is achieved by damping injection. Based on the choice of control variables, special cases of the control law are derived, and tuning of the control law with the physical meaning of the variables is demonstrated along with their simulation results. The proposed control law is experimentally validated on a scaled model of a quarter-car active suspension system with different road profiles, varying load conditions, and noise and delay in the sensor measurements and actuator respectively. The results are compared with that of an uncontrolled system with linear quadratic regulator and sliding mode control.

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“…Another group [13] performed a coordinate transformation to convert a time-delay system into a time-delay-free system. Yet another group [14,15] converted the time-delay into an error of the secondary path and reduced the effect of time-delay using error control. One study [16] conducted in-depth research of time-delay in magneto-rheological dampers.…”

Section: Introductionmentioning

confidence: 99%

Adaptive control of a nonlinear suspension with time-delay compensation

Yao¹,

Zhang²,

Zhao³

et al. 2019

J. vibroeng.

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This paper addresses the challenge of predictive control of a quarter-car nonlinear suspension and low controller-precision. This is done by designing and implementing an adaptive controller with time-delay compensation. First, a real-time control model is created. Then, time-delay compensation is realized and both frequency-domain and time-domain simulation of the controller performance are conducted. According to the simulation results, the sprung-mass acceleration of the suspension controlled by an adaptive controller with time-delay compensation is superior to that without time-delay compensation. Both the period to settle down and the peak of vibration acceleration are smaller. This means the proposed controller is capable of dealing with problems including variable time delay, nonlinear vibration and predictive control.

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Sliding Mode Control for Active Suspension System with Data Acquisition Delay

Cited by 22 publications

References 23 publications

Adaptive Neural-Sliding Mode Control of Active Suspension System for Camera Stabilization

Adaptive Neural-Sliding Mode Control of Active Suspension System for Camera Stabilization

Design and performance comparison of interconnection and damping assignment passivity-based control for vibration suppression in active suspension systems

Adaptive control of a nonlinear suspension with time-delay compensation

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