The Dynamic Model and Control Algorithm for the Active Suspension System

Nguyen, Duc Ngoc; Nguyen, Tuan Anh

doi:10.1155/2023/2889435

Cited by 6 publications

(1 citation statement)

References 70 publications

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“…Then, the change in stiffness and damping coefficients shown in equation ( 40) are assumed to be given within the following intervals (Nguyen et al, 2000):…”

Section: Numerical Analysis and Resultsmentioning

confidence: 99%

Robust control of vehicle suspension systems with friction non-linearity for ride comfort enhancement

Ozbek

Burkan

Yağiz

2023

Journal of Vibration and Control

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Robust controllers are attracting considerable interest in control of dynamic systems due to their capability of eliminating parameterized or unparameterized uncertainties. Therefore, model based robust control law is proposed in this study for ride comfort enhancement and applied on a 7 degree-of-freedom full-car suspension system with friction non-linearity. Inertia, spring and damping forces of the system are modelled with parameterized uncertainties while friction forces and external disturbances are considered as unmodelled dynamics, namely, unparameterized uncertainties. To better understand the effectiveness of proposed controller, a dry friction model that has non-linear characteristics is used for analysis. Closed-loop stability of the system is achieved by using well-known Lyapunov Stability Theorem. To better evaluate the effect of proposed robust controller on ride comfort enhancement with successful road holding, extensive numerical analysis is performed and the results are compared with those of previous similar controller and passive suspension system. The effectiveness of proposed control method has been confirmed. Consequently, satisfactory results have been obtained proving that the ride comfort of a vehicle that has both parameterized and unparameterized uncertainties has been further improved with reasonable power consumption values for a vehicle in terms of economic viability.

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“…Then, the change in stiffness and damping coefficients shown in equation ( 40) are assumed to be given within the following intervals (Nguyen et al, 2000):…”

Section: Numerical Analysis and Resultsmentioning

confidence: 99%

Robust control of vehicle suspension systems with friction non-linearity for ride comfort enhancement

Ozbek

Burkan

Yağiz

2023

Journal of Vibration and Control

View full text Add to dashboard Cite

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Optimal and robust control methodologies for 4DOF active suspension systems: A comparative study with uncertainty considerations

Alqudsi,

Bolat,

Makaraci

2024

Optim Control Appl Methods

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Drawing from recent developments in the field, this article explores advanced control methodologies for active suspension systems with the aim of enhancing ride comfort and vehicle handling. The study systematically and comprehensively implements, simulates, and compares five control methods: Proportional‐integral‐derivative (PID), linear quadratic regulator (LQR), , , and synthesis in the context of half‐vehicle active suspension systems. By using a detailed system model that includes parameter uncertainties and performance weights, analysis, and simulations are conducted to evaluate the performance of each control approach. The results provide valuable insights into the strengths and limitations of these methods, offering a comprehensive comparative analysis. Notably, the study reveals that control may not ensure stability for all possible combinations within a broad range of uncertainties, indicating the need for careful consideration in its application. The results and simulations thoroughly evaluate and compare the performance of each control strategy across various output responses, contributing to the advancement of more effective and reliable active suspension systems.

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