An Extension of Mixed Sky-hook and ADD to Magneto-Rheological Dampers

Lam, Anh; Sename, Olivier; Dugard, Luc; Savaresi, Sergio M.; Spelta, Cristiano; Delvecchio, Diego

doi:10.3182/20100915-3-it-2017.00050

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…The units of the controller output can be force or damping. The most important work is on the following topics: optimal gain switching, 35 robust H N control, 29,32 model predictive control strategies, 36 robust H N control using the linear parameter-varying technique 37,38 and the sliding-mode control approach. 39 The drawbacks of these approaches are the independence of the identification of the model and the sensitivity to the changes in the vehicle model (i.e.…”

Section: Mass Production It Has Mechanical Simplicitymentioning

confidence: 99%

Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach

Lozoya-Santos

Ramírez-Mendoza

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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Three controllers, namely the skyhook controller, the mixed-single-sensor controller and the groundhook controller, are compared using two validation approaches, namely the hardware-in-the-loop approach and the software-in-the-loop approach. The software-in-the-loop approach considers the dynamics (e.g. the body heave, the yaw, the roll, the pitch and the force) and the geometric parameters (the motion ratio of the suspension) without the real-time constraints. This allows an easier debugging and design procedure to be carried out for the control systems. The hardware-in-theloop approach includes a commercial magnetorheological damper for testing the dynamic and transient responses in a control system. It is of interest to compare the conclusions generated under both approaches. The hardware-in-the-loop approach considers an on-off magnetorheological damper, and a quarter-vehicle model in a real-time embedded system. Two types of test were applied: chirp surface road tests and type F surface tests (ISO 8606:1995). For the software-inthe-loop approach the non-linearities and dynamics due to the geometric and physical component characteristics of a vehicle model were simulated by CarSim Ò software, while the non-linear magnetorheological damper model and the controller were running in MATLAB Ò /Simulink Ò . The classical tests for the vehicle, namely the dynamics bounce sine sweep test, the double-lane-change test and the fishhook test, were applied. In the hardware-in-the-loop approach, the best controller was the skyhook controller for comfort and the groundhook controller for road holding. In the software-in-the-loop approach, the mixed-single-sensor controller is the best for comfort, and the groundhook controller can be used in emergency driving conditions since it improves the stability, the road holding and the wheel tramp. The best controller in the hardware-in-the-loop approach and the best controller in the software-in-the-loop approach are not the same since the motion ratio of the automotive suspensions influences the performance of the semiactive control systems; the inclusion of this geometric parameter in further analysis and synthesis of semiactive suspension systems is recommended.

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Section: Mass Production It Has Mechanical Simplicitymentioning

confidence: 99%

Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach

Lozoya-Santos

Ramírez-Mendoza

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Thus, optimization of suspension systems has been studied in the recent literature. 2,3 Suspension systems are classified in three categories according to the way they are controlled: passive, 4,5 semi-active, [6][7][8] and active. 9 The ability of semi-active suspensions to provide few of the benefits of full active systems, while they cost less and are easier to be designed, has led to their commercial use.…”

Section: Introductionmentioning

confidence: 99%

Skyhook control strategy for vehicle suspensions based on the distribution of the operational conditions

Παπαϊωάννου

Koulocheris

Velenis

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this work, a novel distribution-based control strategy of semi-active vehicle suspensions is tested under different conditions. The novelty lies in the use of an appropriate threshold in the operational condition of the control algorithm, with which the operational conditions severity is quantified and the state of the damper is controlled according to the magnitude of the operational conditions and not their sign. The value of the threshold depends on the vibrations induced to the sprung mass by the road profile. In order to be evaluated, the operational conditions of the algorithm are fitted to a t-student distribution. The cumulative distribution function of this distribution is used in order to decrease the fraction of the sample operating with the damper’s stiff state. The strategy is applied to traditional SH control algorithms and is tested using a quarter car model excited by different road excitations. A sensitivity analysis for various threshold values is performed, investigating the impact of adopting the cumulative distribution functioned (CDF) controller to various performance metrics. The results illustrate an increase of up to 13% in the ride comfort of the passengers and increase of 6% in the road holding of the vehicle. Both are achieved by minimizing the switches of the damping ratio up to 80%.

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“…12 Nevertheless, an enhanced handling of the forthcoming road conditions may require various information sources and the handling of more dynamical motions, which may require nonconventional control solutions, for example, the forthcoming road section is assumed to be reached from LiDAR information, which can use deep-learning-based algorithms for the determination of road roughness. [13][14][15] Although there are several solutions to the control design of semiactive suspension systems (eg, Skyhook, 16  ∞ , gain scheduling, 1 and predictive methods 12 ), the proposed control structure has the advantage of the capability of the preview and the possibility of using increased number of external signals. Thus, the contribution of the article from the side of the application is a semiactive suspension control design framework with which the minimization of the vertical acceleration is improved.…”

Section: Introductionmentioning

confidence: 99%

Ensuring performance requirements for semiactive suspension with nonconventional control systems via robust linear parameter varying framework

Németh

Gáspár

2020

Intl J Robust & Nonlinear

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In the article a method which is able to provide the required performance level of a system is proposed. Its principle is to combine the results of conventional control methods with those of methods based on nonconventional, for example, machine-learning-based ones. In more detail, it designs a robust linear parameter varying (LPV) control in a predefined form, whose output is equivalent to the output of a machine-learning-based control inside a predefined operational range. Outside of the operation range the output of the machine-learning-based control is overridden, while the intervention with the performance level is guaranteed. The efficiency of the proposed method is illustrated through an example on the semiactive suspension control design. The nonlinearities in the dynamics of the magneto-rheological damper are considered through a nonlinear parameter varying (NLPV) model. It designs an NLPV model-based LPV control, which is combined with a neural network to achieve preview capability.

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An Extension of Mixed Sky-hook and ADD to Magneto-Rheological Dampers

Cited by 10 publications

References 16 publications

Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach

Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach

Skyhook control strategy for vehicle suspensions based on the distribution of the operational conditions

Ensuring performance requirements for semiactive suspension with nonconventional control systems via robust linear parameter varying framework

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