Model predictive control of an air suspension system with damping multi-mode switching damper based on hybrid model

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

doi:10.1016/j.ymssp.2017.02.033

Cited by 87 publications

(39 citation statements)

References 29 publications

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“…According to the aforementioned damping regulation mechanism of the shock absorber, the four damping modes are given in Table 1, in which the discrete statuses of the two high-speed switch electromagnetic valves and the damping characteristics of the four modes are, respectively, provided. Furthermore, the oil flow paths of the four discrete damping modes are shown in Figure 3 [28]. Just as mentioned before, because the oil flow pressure losses of the four one-way valves are different, the different damping characteristics in the compression and rebound strokes for the four damping modes are also achieved.…”

Section: System Descriptionmentioning

confidence: 85%

“…As shown in Figure 2, the four discrete damping modes are achieved by using the four one-way valves with different oil flow pressure losses and two high-speed switch electromagnetic valves. It is obvious that, by just changing the discrete statuses of the two high-speed switch electromagnetic valves, the hydraulic oil flow path is changed, and thus, the four discrete damping modes can be achieved [28].…”

Section: System Descriptionmentioning

confidence: 99%

“…Because the mechanism modeling of the conventional hydraulic shock absorber has been reported in many relevant literatures [29][30][31][32], thus in this work, the mathematical modeling of the shock absorber with multiple damping modes is not considered as the introduction emphasis. According to the research results reported in reference [28], the damping force generated by the target shock absorber with multiple damping modes can be represented by the following equations:…”

Section: System Modelingmentioning

confidence: 99%

“…Furthermore, the relationship between the two logical input variables and the discrete statuses of the high-speed switch electromagnetic valves are defined as [28]…”

Section: System Modelingmentioning

confidence: 99%

See 3 more Smart Citations

Damping Multimode Switching Control of Semiactive Suspension for Vibration Reduction in a Wheel Loader

Wei

Liu

2019

Shock and Vibration

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The aim of this work is the control design and analysis of a semiactive axle suspension system for vibration reduction in a wheel loader. Unlike a traditional semiactive suspension system with continuously adjustable shock absorber, in this work, a novel axle suspension with multiple damping modes is proposed for the wheel loader. The multimode switching damping characteristics are achieved by just changing the discrete statuses of two high-speed switch electromagnetic valves, which makes the damping adjustment simpler and more reliable. However, because of the existence of discrete events, i.e., the on-off statuses of switch electromagnetic valves, the axle suspension proposed for the wheel loader poses a challenging hybrid control problem. To solve this problem, the mixed logical dynamical (MLD) modeling approach for hybrid systems is applied to model the dynamic characteristics of the system damping control procedure. Using this model, a hybrid model predictive control (HMPC) strategy is further designed, which can determine the optimal switching sequences of the discrete damping modes according to the axle suspension performance indices. Finally, to verify the effectiveness of the proposed semiactive axle suspension with multiple damping modes and its control approach, simulation analyses are conducted.

show abstract

Section: System Descriptionmentioning

confidence: 85%

Section: System Descriptionmentioning

confidence: 99%

Section: System Modelingmentioning

confidence: 99%

“…Furthermore, the relationship between the two logical input variables and the discrete statuses of the high-speed switch electromagnetic valves are defined as [28]…”

Section: System Modelingmentioning

confidence: 99%

See 2 more Smart Citations

Damping Multimode Switching Control of Semiactive Suspension for Vibration Reduction in a Wheel Loader

Wei

Liu

2019

Shock and Vibration

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show abstract

“…Literature [14] presented an embedded real-time implementation of the generalized predictive control (GPC) algorithm for automotive active suspension systems and tested it on a hardware-in-the-loop test bench. Literature [15] proposed a new model predictive control algorithm for semi-active air suspension with a multi-mode switchable damper. Up to now, the MPC has been used in the speed tracking control of autonomous ground vehicle [16,17], lateral stability control and energy management of electric vehicle [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of active suspension predictive control based on improved PSO algorithm

Zhao¹,

Zhu²

2019

J. vibroeng.

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The design and control for active suspension is of great significance for improving the vehicle performance, which requires considering simultaneously three indexes including ride comfort, packaging requirements and road adaptability. To find optimal suspension parameters and provide a better tradeoff among these three performances, this paper presents a novel multi-objective particle swarm optimization (MPSO) algorithm for the suspension design. The mathematical model of quarter-car suspension is first established, and it integrates the hydraulic servo actuator model. Further a model predictive controller is designed for the suspension by using the control strategies of multi-step forecast, rolling optimization and online correction of predictive control theory. To use vehicle body acceleration, tire deflection and suspension stroke to represent the above three performances respectively, a multi-objective optimization model is constructed to optimize the suspension stiffness and damping coefficients. The MPSO algorithm includes extra crossover operations, which are applied to find the Pareto optimal set. The rule to update the Pareto pool is that the newly selected solutions must have two better performances compared with at least one already existed in the Pareto pool, which ensures that each solution is non-dominated within the Pareto set. Finally, numerical simulations on a vehicle-type example are done under B-level road surface excitation. Simulation results show that the optimized suspension can effectively reduce the vertical vibrations and improve the road adaptability. The model predictive controller also shows high robustness with vehicle under null load, half load and full load. Therefore, the proposed MPSO algorithm provides a new valuable reference for the multi-objective optimization of active suspension control.

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Body height robust control of automotive air suspension system using finite‐time approach

Yin

Zhao

Jun

et al. 2021

Asian Journal of Control

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One of the essential characteristics of electronically controlled air suspension (ECAS) is that the automotive height is adjustable. Because ECAS system has complex nonlinearity and noticeable hysteresis, it is easy to make the vehicle oscillate near the target height due to the overcharge/discharge of air springs, which would cause the instability of vehicle body posture. More than that, the existence of external disturbances and uneven loads has impacts on body height control. The complex nonlinear characteristics and the existence of external interference put forward higher requirements for the design of ECAS body height controller. In this paper, by non‐singular coordinate transformation, the nonlinear model of the 1/4 ECAS body height regulation system is transformed into a linear model with a third‐order integral chain firstly, which is closer to the real dynamic characteristics of the suspension system than the linear system with low order. Secondly, based on continuous finite‐time theory, a continuous finite‐time feedback stabilization controller with small parameters is designed, and it turned out that the height regulation system can achieve finite‐time stability. Finally, the simulation results under sinusoidal and random disturbances show that with the comparison with the traditional PD control, the designed finite‐time controller can not only guarantee the system faster response speed and better control accuracy but also obtain the better anti‐jamming performance. By innovatively applying the finite‐time theory to the ECAS system, the designed control system in this paper can afford good robustness for ECAS height adjustment and has great significance to improve the overall performance of ECAS system.

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Model predictive control of an air suspension system with damping multi-mode switching damper based on hybrid model

Cited by 87 publications

References 29 publications

Damping Multimode Switching Control of Semiactive Suspension for Vibration Reduction in a Wheel Loader

Damping Multimode Switching Control of Semiactive Suspension for Vibration Reduction in a Wheel Loader

Multi-objective optimization of active suspension predictive control based on improved PSO algorithm

Body height robust control of automotive air suspension system using finite‐time approach

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