Vehicle height and leveling control of electronically controlled air suspension using mixed logical dynamical approach

Sun, Xiaoyun; Cai, Yingfeng; Yuan, Chaochun; Wang, Shaohua; Chen, Long

doi:10.1007/s11431-015-0984-y

Cited by 22 publications

(19 citation statements)

References 17 publications

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“…On the basis of the previous results, they proposed a correction algorithm based on pulse width modulation (PWM) technology, which was used to control the duration of the solenoid valve switch state, so that the control accuracy of height, roll angle and pitch angle could be better realized in the process of height adjustment. The experimental results proved that the control algorithm could control the vehicle attitude [25,27].…”

Section: Introductionmentioning

confidence: 84%

“…where, m denotes mean; c denotes variance; λ is scaling factor; α stands for the distribution state of sampling points; β denotes nonnegative weight coefficient. The UKF iteration is carried out using discretization Equations (25)- (27) and this specific process is shown in Figure 6. Using iterative results, suspension deflection and static equilibrium position can be used to adjust vehicle height, so as to compare control effect of different control strategies.…”

Section: Unscented Kalman Filter Algorithmmentioning

confidence: 99%

“…It has been widely used in commercial vehicles [8], railway vehicles [9], passenger vehicles [10] and agricultural machines [11,12] because of its advantages of adjustable stiffness and height. In the past few years, the research on air suspension systems has mainly focused on three aspects: air suspension analysis modeling [13][14][15][16][17], electronic control system [18][19][20][21][22] and vehicle height control algorithms [23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

Gao¹,

Chen²,

Zhao³

et al. 2018

Energies

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In this paper, a static state observer algorithm based on the static equilibrium position is proposed, which can realize accurate control of electric vehicle height adjustment with existing road excitation. The existence of road excitation can lead to deflection variation of the electronically controlled air suspension (ECAS). The use of only dynamic deflection as the reference for the electric vehicle height adjustment will produce great errors. Therefore, this paper provides an observation algorithm, which can realize the accurate control of vehicle height. Firstly, the static equilibrium position equation of suspension is derived according to the theory of hydrodynamics and characteristics of pneumatic chamber. Secondly, a vehicle dynamics model with seven degrees of freedom (7-DOF) is established and the kinetic equations are discretized. Then, the unscented Kalman filter (UKF) algorithm is used to obtain the static equilibrium position of vehicle. According to the vehicle static equilibrium position obtained by UKF, the height of the vehicle is adjusted by using a fuzzy controller. The simulation and experimental results show that this proposed algorithm can realize the control of vehicle height with an accuracy of over 96%, which ensures the excellent driving performance of vehicles under different road conditions.

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Section: Introductionmentioning

confidence: 84%

Section: Unscented Kalman Filter Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

Gao¹,

Chen²,

Zhao³

et al. 2018

Energies

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“…[6][7][8] The compressor provides high air pressure in the reservoir. [9][10][11] For inflating the air spring, the air inside the tank flows toward air spring and causes a pressure drop in the tank. As a consequence, the compressor is used to recharge the tank that is considered as an energy consumer element.…”

Section: Introductionmentioning

confidence: 99%

Development of an optimized game controller for energy saving in a novel interconnected air suspension system

Nazemian

Masih‐Tehrani

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this study, the focus is on reducing the energy that is consumed by a compressor for providing high air pressure in the reservoir. A new air suspension configuration is presented that is titled active interconnected air suspension with outsourced air pressure. In this configuration, a compressor is used to charge the tank; meanwhile, the air springs are connected. For minor excitation, first, the air flows between air springs to control roll angle and height adjustment. If the situation of body position gets worse, the compressed air tank compensates to keep the body not generating roll angle and bounce. This methodology has a benefit. This configuration conserves compressed air in the tank in minor road elevation. The optimized controllers are designed to control roll angle and bounce, but they determine the outsourced air mass flow rate. For switching between interconnection and outsourced mode, there are some rules defined based on game theory for a trade-off between high dynamical performance quality of the vehicle and reduction of energy consumption. The optimization is done on the rules to keep both aspects minimum as much as possible. A three-axle heavy truck is used, and its performance is under discussion on an uneven rough road. Roll angle is improved progressively in novel air suspension configuration, and the energy consumption is reduced. In the default condition, the roll angle is improved 72% from the passive case and 39% from the conventional configuration. Furthermore, the energy consumption optimized version reduces 14% from the non-optimized case and 46% from the outsourced mode. By importing road power spectral density type E and type G, as the short domain and high-frequency vibrations, to two sides of the truck, it is inferred that the vehicle could remain on interconnection mode entirely without using the compressor.

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“…In automotive suspension development, whether in the conventional suspension [1], or in the active [2,3] suspension, or in modern air suspension [4][5][6][7], road input is crucial in vehicle vibration and suspension performance simulation, so it is meaningful to investigate the road roughness model and simulation approaches. In current automotive theories [8][9][10], although there are discussions about road roughness and its model, the theory and approach appear non-systematic or non-specific.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Road Roughness for Automotive Dynamics Simulation

Wang¹,

Hua²

2019

Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

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It is meaningful to investigate the road roughness model and simulation approach for modern vehicle suspension design and development. Mathematical modeling of the road roughness was systematically carried out in this study, which includes modeling the Power Spectral Density (PSD) of road roughness in terms of spatial frequency, modeling the PSD of road roughness in terms of frequency, and modeling the road roughness function in the time domain. Simulations of road roughness and road classification were then performed using the established frequency and time domain models, finally the road models were incorporated into the dynamics simulation of a luxury car with air suspension. Simulation results show that the road model and simulation approach are convincing and accurate. The road theory and simulation approach obtained in this work could be useful and instructive for vehicle suspension development.

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Vehicle height and leveling control of electronically controlled air suspension using mixed logical dynamical approach

Cited by 22 publications

References 17 publications

Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

Development of an optimized game controller for energy saving in a novel interconnected air suspension system

Modeling the Road Roughness for Automotive Dynamics Simulation

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