Uncertainties Investigation and µ-Synthesis Control Design for a Full Car with Series Active Variable Geometry Suspension

Feng, Zilin; Yu, Min; Cheng, Cheng; Evangelou, Simos A.; Jaimoukha, Imad M.; Dini, Daniele

doi:10.1016/j.ifacol.2020.12.901

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…However, these systems are mechanically constrained, limiting their range of adaptability. To overcome these limitations, research has focused on dynamically altering the suspension alignment state to enhance driving stability through the design and analysis of an active-geometry-controlled suspension mechanism [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Moon

2023

Machines

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In the automotive field, with the advancement of electronic and signal processing technologies, active control-based chassis systems have been developed to enhance vehicle stability. In this study, a Hardware-in-the-Loop (HiL) simulation environment was developed to effectively improve time and cost during the development process of an independent rear-wheel steering system. The HiL Simulation Environment was developed—a specific test bench capable of simulating driving loads on the prototype. Based on the system identification method, a reaction force modeling technique for the target driving loads was proposed. The full vehicle dynamics simulation model was developed with a lateral maximum error of 4.5% and a correlation coefficient of 0.98, as well as a longitudinal maximum error of 0.1% and a correlation coefficient of 0.99. The reaction force generation system had a maximum error of 2.9%. Using the developed HiL simulation environment, performance verification and analysis of the independent rear-wheel steering system were conducted, showing reductions of 5.1% in lateral acceleration and 5.2% in yaw rate.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Moon

2023

Machines

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“…The µ-synthesis-based control scheme described in [21] is a robust control method which goes beyond the more conventional H ∞ control approach by allowing to take explicitly into account uncertainties. A preliminary use of the µ-synthesis approach has been proposed in [22] for a different type of suspension (Series Active Variable Geometry Suspension (SAVGS) [23], [24] and only for high frequency dynamics, with promising results. In the present work, an advanced µsynthesis-based control scheme is synthesized for the PALS, which is fundamentally different in architecture than the SAVGS, to maintain its performance improvement regardless of variations of system parameters associated with important uncertainties, and also to improve the suspension performance by accounting for nonlinearities as uncertainties during the control design.…”

Section: Introductionmentioning

confidence: 99%

Mu-synthesis PID Control of Full-Car with Parallel Active Link Suspension Under Variable Payload

Feng¹,

Yu²,

Evangelou³

et al. 2022

Preprint

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This paper presents a combined µ-synthesis PID control scheme, employing a frequency separation paradigm, for a recently proposed novel active suspension, the Parallel Active Link Suspension (PALS). The developed µ-synthesis control scheme is superior to the conventional H∞ control, previously designed for the PALS, in terms of ride comfort and road holding (higher frequency dynamics), with important realistic uncertainties, such as in vehicle payload, taken into account. The developed PID control method is applied to guarantee good chassis attitude control capabilities and minimization of pitch and roll motions (low frequency dynamics). A multi-objective control method, which merges the aforementioned PID and µ-synthesisbased controls is further introduced to achieve simultaneously the low frequency mitigation of attitude motions and the high frequency vibration suppression of the vehicle. A seven-degree-offreedom Sport Utility Vehicle (SUV) full car model with PALS, is employed in this work to test the synthesized controller by nonlinear simulations with different ISO-defined road events and variable vehicle payload. The results demonstrate the control scheme's significant robustness and performance, as compared to the conventional passive suspension as well as the actively controlled PALS by conventional H∞ control, achieved for a wide range of vehicle payload considered in the investigation.

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Advances in Active Suspension Systems for Road Vehicles

Yu,

Evangelou,

Dini

2024

Engineering

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Uncertainties Investigation and µ-Synthesis Control Design for a Full Car with Series Active Variable Geometry Suspension

Cited by 4 publications

References 34 publications

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Mu-synthesis PID Control of Full-Car with Parallel Active Link Suspension Under Variable Payload

Advances in Active Suspension Systems for Road Vehicles

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