Development of a sliding mode controller for semi-active vehicle suspensions

Yao, Jialing; Shi, Wenxiao; Zheng, Jiaqiang; Zhou, Hongping

doi:10.1177/1077546312441045

Cited by 48 publications

(25 citation statements)

References 22 publications

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“…Hence, undesirable vibration in the rail car system is the cause of noise, considerable energy loss, reduction in the system's performance, fatigue or fracture of some component, instability of a moving rail car and displacement of the rail track, amongst others. Over the years, there are three main types of suspension systems often employed to check vibration in the rail car system, namely, the passive, semi-active and fully active suspension systems [3,4]. The design requirements of the suspension system of the rail car are to provide support against the dynamic loads and weight of the railcar; prevent load and rail disturbances; isolate the rail car body disturbances that could offset its balance; prevent irregular motions such as bouncing, yawing, etc.…”

Section: Introductionmentioning

confidence: 99%

Vibration Analysis and Control in the Rail Car System Using PID Controls

Daniyan¹,

Mpofu²

2019

Noise and Vibration Control - From Theory to Practice

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The PID classic control systems are often employed for rail car systems to reduce the vibrations and disturbance rate during movement. In this study, the dynamic modeling and simulation of PID controls for rail car systems were carried out. Using 9 degrees of freedom, the modeling process comprises the representation of the rail car system and the rail track followed by the generation of equations of motion as well as differential equations for the rail car body, wheel sets and bogie. The represented systems are simulated in the MATLAB Simulink 2018 environment based on the equations of motion generated, and subsequently vibration analysis was carried out. The PID control system tuned according to the Nichols-Ziegler rule was introduced to minimize the vibrations and disturbance rate. The performance of the control and the rail car system in terms of the input step response, bandwidth, frequency, phase margin, frequency and input and output rejections was evaluated. The control system demonstrated significant robustness in providing the required active control for the system, while there was improved stability and reduction in noise and vibration under control action of the PID, thus improving ride comfort.

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Section: Introductionmentioning

confidence: 99%

Vibration Analysis and Control in the Rail Car System Using PID Controls

Daniyan¹,

Mpofu²

2019

Noise and Vibration Control - From Theory to Practice

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“…[26][27][28] Therefore, the sliding mode controller is selected as the controller of the vehicle suspension and TMD for its excellent stability and outstanding performance with two or more control objectives. 22,24,29 As a result, the proposed structure can eliminate the unsprung adverse effect totally as well as improve the ride comfort across the whole frequency spectrum. In addition, the hardware-in-the-loop simulation indicates that the designed controller also behaves well in the presence of nonlinearities.…”

Section: Introductionmentioning

confidence: 99%

A method to eliminate unsprung adverse effect of in-wheel motor-driven vehicles

Nie

Zhuang

Chen³

et al. 2018

Journal of Low Frequency Noise, Vibration and Active Control

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In-wheel motor-driven vehicles are the development trend for future vehicles due to its high energy efficiency and low emission as well as its flexibility to achieve independent steering, driving, etc. However, the weighted wheel of in-wheel electric vehicles involves more unexpected unsprung vibrations, which imposes adverse effect on vehicle ride comfort. In addition, there exists an invariant point around the unsprung resonance frequency in both controlled and uncontrolled suspensions, which greatly limits the elimination of unsprung adverse effect of in-wheel electric vehicles. In this paper, a combined structure is proposed to eliminate the unsprung adverse effect. The structure is composed of the vehicle suspension and a tuned mass damper, which are both controlled by a sliding mode controller, aiming at eliminating the unsprung adverse effect as well as improving ride comfort across the whole frequency spectrum. The tunes mass damper is used to get rid of the constraint of the invariant point. The simulation and hardware-in-theloop results show that the root mean square of the sprung mass acceleration and tire deflection is reduced by 31.2% and 2.2% respectively, which indicates that the proposed method is effective and ride comfort is greatly improved.

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“…Both a magnetorheological damper and an adaptive sliding-mode algorithm were used in a bicycle in [4]. The optimal control force could be computed by tracking the idealized model using a controller designed in [5,6]. A special MR damper was developed in [7], and the sky-hook algorithm was used to reduce the vibration acceleration of the entire vehicle.…”

Section: Introductionmentioning

confidence: 99%

Active control of a nonlinear suspension with output constraints and variable-adaptive-law control

Yao¹,

Zhang²,

Zhao³

et al. 2018

J. vibroeng.

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A variable-adaptive-law control algorithm for application to common problems like multi-objective control, actuator output constraints, and suboptimal adaptive laws is proposed in this paper. The multi-objective control problem of a nonlinear suspension is converted to the constrained stability problem of a sprung mass using a quarter nonlinear-suspension model. A variable-adaptive-law controller is then used, along with feedback from the output error, and considering the constraints of the actuator output. The controller modifies the adaptive law to reduce the active control force and restores it to the unsaturated zone. This ensures that the suspension system is always in a controlled state when the output saturation occurs. The controller was simulated for the following two cases: (i) a bump road and (ii) a C-grade road. The analysis is verified by experiments in the end.

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Development of a sliding mode controller for semi-active vehicle suspensions

Cited by 48 publications

References 22 publications

Vibration Analysis and Control in the Rail Car System Using PID Controls

Vibration Analysis and Control in the Rail Car System Using PID Controls

A method to eliminate unsprung adverse effect of in-wheel motor-driven vehicles

Active control of a nonlinear suspension with output constraints and variable-adaptive-law control

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