Study on the sliding mode control method for the active suspension system

Nguyen, Tuan Anh

doi:10.6703/ijase.202109_18(5).006

Cited by 15 publications

(7 citation statements)

References 27 publications

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“…However, this mention is not clear. According to Nguyen [28], the Sliding Mode Control method can be highly effective for SISO nonlinear systems. This system is stable when the sliding surface is selected appropriately [29].…”

Section: Literature Reviewmentioning

confidence: 99%

LQR Control with the New Triple In-Loops Algorithm for Optimization of the Tuning Parameters

Nguyen¹,

Nguyen²,

Dang³

et al. 2022

MMEP

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The suspension system plays a role in ensuring the stability of the vehicle when traveling on the road. On many modern vehicles, the active suspension system has been proposed to replace the conventional passive suspension system. The performance of the controller for the active suspension system depends on its control method. In this paper, a half dynamics model of the vehicle is established. Besides, the LQR control method is also used. The parameters of the control matrix are calculated through the triple in-loop optimization algorithm, which has been shown in the research. This is a completely novel algorithm. This algorithm helps to choose the most optimal parameters. Thus, it ensures the efficiency and stability of the controller. The calculation and comparison process are done automatically. When the loop ends, the optimal parameters are explicitly indicated. The simulation process is done in the MATLAB-Simulink environment. The results of the research showed that when the LQR controller, which was optimized through the triple in-loop algorithm used, the vehicle's oscillation was significantly reduced. In the three survey situations, the values of the roll angle and the angular acceleration of the sprung mass are guaranteed to be stable. Besides, when using this controller, the phenomenon of “chattering” after the excitation ends does not appear. This topic can be further developed in the future.

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Section: Literature Reviewmentioning

confidence: 99%

LQR Control with the New Triple In-Loops Algorithm for Optimization of the Tuning Parameters

Nguyen¹,

Nguyen²,

Dang³

et al. 2022

MMEP

Self Cite

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“…Corresponding to these two masses are two degrees of freedom, z 1 , and z 2 . e vehicle's oscillation is caused by the road surface roughness r(t) [50].…”

Section: Control Modelmentioning

confidence: 99%

A Hybrid Control Algorithm Fuzzy-PI with the Second Derivative of the Error Signal for an Active Suspension System

Nguyen

2022

Mathematical Problems in Engineering

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A vehicle’s oscillation can be improved by using an active suspension system to replace the conventional passive suspension system. The active suspension system operates on the control signal from the controller. This paper introduces the Fuzzy-PI integrated control algorithm to control the system’s efficiency. The Fuzzy algorithm adjusts the KP and KI parameters of the controller. This response depends on the oscillation state of the vehicle. A quarter model with a hydraulic actuator was used in this research. The simulation process takes place in the MATLAB-Simulink environment. In the first case, the maximum and average values of displacement and acceleration of the sprung mass when the vehicle uses the Fuzzy-PI algorithm are only 2.68%, 1.34%, and 1.65%, 0.66%, respectively, compared to the situation of vehicles using the passive suspension system. For the second case, these values are 3.33%, 1.69%, and 2.01%, 0.73%, respectively. As a result, the vehicle’s stability and comfort are greatly enhanced when the integrated controller is used. Besides, the change of KP and KI parameters is also completely suitable for the vehicle’s driving conditions. This research only leads to calculations and simulations; the experimental process is expected to occur soon.

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“…The Sliding Mode Control algorithm can be used for complex oscillating nonlinear systems. In (Nguyen, 2021c), Nguyen used the Sliding Mode Control algorithm (SMC) for the quarter dynamics model. This oscillating system is an unstable nonlinear form.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sliding Mode Control Algorithm for an Active Suspension System Considering with the Hydraulic Actuator

Nguyen

Dang

2022

Lat. Am. j. solids struct.

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The suspension system has the role of regulating and extinguishing oscillations in the vehicle. To improve stability and comfort, the active suspension system is proposed to replace the passive suspension system. There are many algorithms used for active suspension system control, such as PID, LQR, Fuzzy, etc. Among them, the nonlinear control method which uses the SMC algorithm gives a stable performance. This research proposes the use of the SMC algorithm to control the operation of the active suspension system equipped with a quarter dynamics model. The process of linearization of the hydraulic actuator is presented in the paper. As a result of the simulation, the values of displacement and acceleration of the sprung mass were significantly reduced when the vehicle used the active suspension system controlled by the SMC algorithm. The SMC controller established in this paper provides stability in many situations. Therefore, the vehicle's smoothness and comfort have been significantly improved. In the future, intelligent algorithms can be combined with SMC algorithms to improve the efficiency of the controller.

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Study on the sliding mode control method for the active suspension system

Cited by 15 publications

References 27 publications

LQR Control with the New Triple In-Loops Algorithm for Optimization of the Tuning Parameters

LQR Control with the New Triple In-Loops Algorithm for Optimization of the Tuning Parameters

A Hybrid Control Algorithm Fuzzy-PI with the Second Derivative of the Error Signal for an Active Suspension System

A Novel Sliding Mode Control Algorithm for an Active Suspension System Considering with the Hydraulic Actuator

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