Fuzzy control of active suspension system

Palanisamy, S.; Sivakumar, K.

doi:10.21595/jve.2016.16699

Cited by 25 publications

(15 citation statements)

References 18 publications

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“…This was shown in the paper of Fu et al [45]. Besides, the Fuzzy control method is also commonly used for active suspension models [46]. The logic modes of this method can respond well to external stimuli [47,48].…”

Section: Literature Reviewmentioning

confidence: 92%

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: 92%

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

Nguyen¹,

Nguyen²,

Dang³

et al. 2022

MMEP

View full text Add to dashboard Cite

show abstract

“…The sliding mode control method has also been shown in the studies of Chen et al and Zhou et al [32,33]. Besides, other control methods for the active suspension system that have been highly effective can also be applied to the pneumatic suspension system [34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 95%

Advance the stability of the vehicle by using the pneumatic suspension system integrated with the hydraulic actuator

Nguyen

2021

Lat. Am. j. solids struct.

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“…An active suspension system proposed for a half-car model where the active control is the sum of two kinds of control. Fuzzy logic algorithm [12][13][14] for quarter car model was developed for better ride comfort using hybrid intelligent algorithm.…”

Section: In Automotive Industriesmentioning

confidence: 99%