Control and Evaluation of Slow‐Active Suspensions with Preview for a Full Car

ElMadany, M.M.

doi:10.1155/2012/375080

Cited by 8 publications

(12 citation statements)

References 22 publications

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“…This kind of preview method uses the road signal of the front wheel as the preview point to obtain the road input of the rear wheel. 14,[24][25][26][27] In some cases, the performance of the WP control may not be better than the front preview control, but the WP control can provide a low-cost alternative solution to the engineer to select. 14 Based on the above reasons, this study focuses on WP control.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of an integrated sliding mode control–two-point wheelbase preview strategy for a semi-active air suspension with stepper motor-driven gas-filled adjustable shock absorber

Zhao

Wong²,

Ma³

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article proposes an integrated sliding mode control-two-point wheelbase preview strategy for semi-active air suspension system with gas-filled adjustable shock absorber. First of all, a vehicle suspension model with rolling lobe air spring and gas-filled adjustable shock absorber is built, following with a road input model for the front wheel. By describing the detailed structure and working process of the gas-filled adjustable shock absorber, the regulating mechanism between the stepper motor and the designed gas-filled adjustable shock absorber is established. Subsequently, the sliding mode control algorithm is applied to generate the desired damping force with the real-time state of the vehicle. Moreover, to predetermine the road profile for the rear wheel, a two-point wheelbase preview approach is proposed and its superiority is also illustrated as compared with the conventional single-point wheelbase preview approach. To evaluate the performance of the proposed system, numerical analysis is conducted with other three comparative schemes, namely, passive suspension system, active suspension system with H infinity control, and sliding mode controlcontrolled semi-active air suspension system with adjustable shock absorber. Simulation results show that the integrated sliding mode control-two-point wheelbase preview strategy can be successfully utilized in the semi-active air suspension system with stepper motor-driven gas-filled adjustable shock absorber, and the vehicle performance with the proposed system can be greatly improved.

show abstract

Section: Introductionmentioning

confidence: 99%

Design and analysis of an integrated sliding mode control–two-point wheelbase preview strategy for a semi-active air suspension with stepper motor-driven gas-filled adjustable shock absorber

Zhao

Wong²,

Ma³

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

show abstract

“…The principle of preview control is to predict the road condition for the rear wheel based on the road information obtained from the front of the vehicle so that the control action can be performed without too much delay. This idea was firstly introduced by Bender [23] and was then proved by several studies [24][25][26][27][28][29] to be a very promising approach with the use of hydraulic active suspensions. In general, two types of preview methods are available, namely, the front preview and the wheelbase preview [26].…”

Section: Introductionmentioning

confidence: 99%

“…In general, two types of preview methods are available, namely, the front preview and the wheelbase preview [26]. For the first one, a road measurement sensor is placed in the front of the vehicle so that the road information can be obtained a few meters ahead of the two front wheels, whereas for the latter one, the road profile for the rear wheels is the road information obtained based on the displacement of the front wheels with a time delay [27]. In the semi-active suspension systems, wheelbase preview strategy is viewed as a low-cost solution because it only controls the rear suspension so as to save the number of variable dampers and sensors and control hardware for the front suspension.…”

Section: Introductionmentioning

confidence: 99%

A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

Xie

Wong

Zhao

et al. 2013

Mathematical Problems in Engineering

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Semi-active air suspension is increasingly used on heavy-duty vehicles due to its capabilities of consuming less power and low cost and providing better ride quality. In this study, a new low cost but effective approach, fuzzy-wheelbase preview controller with wavelet denoising filter (FPW), is developed for semi-active air suspension system. A semi-active suspension system with a rolling lobe air spring is firstly modeled and a novel front axle vertical acceleration-based road prediction model is constructed. By adopting a sensor on the front axle, the road prediction model can predict more reliable road information for the rear wheel. After filtering useless signal noise, the proposed FPW can generate a noise-insensitive control damping force. Simulation results show that the ride quality, the road holding, the handling capability, the road friendliness, and the comprehensive performance of the semi-active air suspension with FPW outperform those with the traditional active suspension with PID-wheelbase preview controller (APP). It can also be seen that, with the addition of the wavelet filter, the impact of sensor noise on the suspension performance can be minimized.

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“…The slow-active structure is mainly used for compensation of low frequency pitch (braking, acceleration) and/or roll (cornering) [14], but uniaxial vibrations are taken into consideration as well. In papers [15], [16], [17], [18], [19], [20], [21], [22], [23] full-or half models of a vehicle were considered. In papers [15], [16], [17], [18], [24] the authors determined control laws using the LQR method.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of Slow-Active Vehicle Suspension — Results of Experimental Data

Sibielak

Konieczny

Kowal

et al. 2013

Journal of Low Frequency Noise, Vibration and Active Control

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Laboratory investigations of an active vehicle suspension of an in-series structure of the slow-active type are presented in this paper. The multidimensional model is reduced to a case representing quarter car suspension. Control laws for active vibration reduction systems are usually determined based upon linear models of objects. Active suspensions are characterised by nonlinearity, connected most often with actuating systems and their energetic restrictions. This causes divergences between theoretical quality factors and those determined experimentally. The second essential problem is finding a compromise between opposed quality factors (for example, minimum power requirement and high efficiency of vibration reduction).Thanks to the use of the proper control law in the active vibration reduction system of vehicle suspension, the goal of ensuring a high level of ride comfort, good vehicle handling and incessant contact of the wheels with the road surface with a minimum power requirement may be attained. The authors, in seeking a compromise, determined classical LQR controllers for the proposed quality indicators realising the aims mentioned above. These controllers are determined for a linearised suspension model obtained from identification. Experimental characteristics are determined for all of the suspension control systems.

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Control and Evaluation of Slow‐Active Suspensions with Preview for a Full Car

Cited by 8 publications

References 22 publications

Design and analysis of an integrated sliding mode control–two-point wheelbase preview strategy for a semi-active air suspension with stepper motor-driven gas-filled adjustable shock absorber

Design and analysis of an integrated sliding mode control–two-point wheelbase preview strategy for a semi-active air suspension with stepper motor-driven gas-filled adjustable shock absorber

A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

Optimal Control of Slow-Active Vehicle Suspension — Results of Experimental Data

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