2022
DOI: 10.1016/j.jestch.2021.06.006
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Robust Control for an Active Suspension System via Continuous Sliding-Mode Controllers

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Cited by 27 publications
(14 citation statements)
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“…Simulation Results and Discussions: The efficiency of the proposed control scheme in terms of ride comfort, wheel-road connection, and suspension safety will be investigated in detail through simulations, and its performance is evaluated with respect to MRAC [6] and SMC [7] methods. The considered parameters for the quarter-car suspension system under study are adopted from [8].…”
Section: Problem Statementmentioning
confidence: 99%
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“…Simulation Results and Discussions: The efficiency of the proposed control scheme in terms of ride comfort, wheel-road connection, and suspension safety will be investigated in detail through simulations, and its performance is evaluated with respect to MRAC [6] and SMC [7] methods. The considered parameters for the quarter-car suspension system under study are adopted from [8].…”
Section: Problem Statementmentioning
confidence: 99%
“…Moreover, to validate the method's applicability in practical applications, three different road profiles are conducted to simulate distinct practical road situations, as the bump-dip road, random road, and sinusoidal profiles. Furthermore, the vibration suppression performance of the developed adaptive control scheme is investigated, and superior simultaneous ride comfort, road handling, and suspension safety are guaranteed compared to conventional MRAC [6] and SMC [7] approaches.…”
mentioning
confidence: 99%
“…The combination of fuzzy systems and sliding mode approaches results in a robust adaptive control approach, which benefits from the rigorous mathematical backbone of sliding mode control theory and the adaptation capabilities of fuzzy systems. Such approaches have been used to control induction servomotors, anti-lock braking systems [35,36], and active suspension systems for vehicles [37,38].…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, advanced control techniques such as model predictive control [8], fuzzy logic control [9] and artificial neural network algorithm [10] 978-1-6654-6925-8/22/$31.00 ©2022 IEEE are computationally intensive and sensitive towards parametric perturbations. Robust techniques such as sliding mode control suffer from chattering problem [11], [12] which has recently been addressed in [13]- [15]. It should be noted that most of control schemes discussed thus far are based on passive disturbance attenuation or rejection approach.…”
Section: Introductionmentioning
confidence: 99%