Vehicle height control of electronic air suspension system based on mixed logical dynamical modelling

The accurate control for the vehicle height and leveling adjustment system of an electronic air suspension (EAS) still is a challenging problem that has not been effectively solved in prior researches. This paper proposes a new adaptive controller to control the vehicle height and to adjust the roll and pitch angles of the vehicle body (leveling control) during the vehicle height adjustment procedures by an EAS system. A nonlinear mechanism model of the full-car vehicle height adjustment system is established to reflect the system dynamic behaviors and to derive the system optimal control law. To deal with the nonlinear characters in the vehicle height and leveling adjustment processes, the nonlinear system model is globally linearized through the state feedback method. On this basis, a fuzzy sliding mode controller (FSMC) is designed to improve the control accuracy of the vehicle height adjustment and to reduce the peak values of the roll and pitch angles of the vehicle body. To verify the effectiveness of the proposed control method more accurately, the full-car EAS system model programmed using AMESim is also given. Then, the co-simulation study of the FSMC performance can be conducted. Finally, actual vehicle tests are performed with a city bus, and the test results illustrate that the vehicle height adjustment performance is effectively guaranteed by the FSMC, and the peak values of the roll and pitch angles of the vehicle body during the vehicle height adjustment procedures are also reduced significantly. This research proposes an effective control methodology for the vehicle height and leveling adjustment system of an EAS, which provides a favorable control performance for the system.

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“…According to the architecture of the target system, the vehicle height and leveling control procedures can be summarised as follows [22][23][24].…”

Section: System Outlinementioning

confidence: 99%

Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

Sun

Cai

Yuan

et al. 2018

Chin. J. Mech. Eng.

Self Cite

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“…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%

“…Sun et al established a nonlinear model of vehicle height adjustment with a variable mass inflation/deflation system based on the theory of vehicle system dynamics and thermodynamics. Then, the framework of mixed logical dynamics (MLD) was used to solve the continuous/discrete dynamics problems by controlling the switching state of the solenoid valve in the process of vehicle height adjustment [24]. 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.…”

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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“…Suspension system plays an important role in providing a high level of ride comfort by isolating the vehicle body from road irregularities and improving road holding capacity by preventing the wheel from loosing road contact [1][2][3]. It is well known that these are conflicting requirements and many studies have shown that this conflict can be eased by using controlled suspension systems instead of passive ones [4,5]. Especially semi-active suspension system has attracted much attention due to its performance increase compared to passive suspensions and its low energy consumption compared to active systems [6,7].…”

Section: Introductionmentioning

confidence: 99%

Hybrid model predictive control of damping multi-mode switching damper for vehicle suspensions

Sun¹,

Cai²,

Yuan³

et al. 2017

J. vibroeng.

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This paper investigates the design and verification of a hybrid model predictive controller of a damping multi-mode switching damper for application in vehicle suspensions. Since the damping mode switches induce different modes of operation, the vehicle suspension system including this damper poses challenging hybrid control problem. To solve this problem, a novel approach to the modelling and controller design problem is proposed based on hybrid modelling and model predictive control techniques. The vehicle suspension system with the damping multi-mode switching damper is formulated as a mixed logical dynamical model comprising continuous and discrete system inputs. Based on this model, a constrained optimal control problem is solved to manage the switching sequences of the damping mode with respect to the suspension performance requirements. Numerical simulation results demonstrate the effectiveness of the proposed control methodology finally.

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Vehicle height control of electronic air suspension system based on mixed logical dynamical modelling

Cited by 16 publications

References 21 publications

Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

Fuzzy Sliding Mode Control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

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

Hybrid model predictive control of damping multi-mode switching damper for vehicle suspensions

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