Multi-objective optimization of the control strategy of electric vehicle electro-hydraulic composite braking system with genetic algorithm

Zhang, Fengjiao; Wei, Minxiang

doi:10.1177/1687814014568491

Cited by 11 publications

(7 citation statements)

References 4 publications

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“…From Eq. (11), it can be seen that the ground friction coefficient reaches the maximum value when the slip rate is about 0.15 corresponding to the optimal slip rate. So the braking control system tries to control the actual slip rate to approach the optimal slip rate, aiming to improve the braking efficiency.…”

Section: Fig 2 Anti-skid Braking Control System Principle Diagrammentioning

confidence: 92%

“…(1) Runway surface Different weathers may result in wet or icy runway surfaces, which will make the frictional coefficient between the ground and the main tire decreases according to Eq. (11). Keeping other working conditions unchanged, Figure 9 demonstrates the gear walk and braking simulation results of the optimized control system on different runway surfaces.…”

Section: Stability and Robustness Of Optimized Control Systemmentioning

confidence: 99%

“…Regarding the gear walk mitigation for landing gears, studies have shown that it is necessary to use models including both the landing gear dynamic model and the braking control system [10]. The genetic algorithm (GA), which is applied to optimize the key parameters in the control strategy of electric vehicle electro-hydraulic composite braking system [11], has been shown to be effective to obtain the optimal anti-skid braking control parameters in this paper. In addition, after successful sensitivity analysis of landing gear structure parameters in [9], the analysis is extended to carry out both the structural and the braking control parameters together to investigate their influence on gear walk in this study.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of gear walk suppression while maintaining braking performance in a main landing gear

Yin

Jiang

Neild

et al. 2019

Aerospace Science and Technology

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In this paper, a nonlinear dynamic landing gear model considering the influence of the coupling of the shock absorber stroke variation and the landing gear longitudinal motion with an anti-skid PID braking control system that captures gear walk is established. This gear walk model is verified by comparing with the response from a virtual prototype model. Then a parameter sensitivity analysis is carried out to find out the parameters with greater effects on gear walk and braking performance. The short time Fourier transform is employed to study the transient gear walk amplitude-frequency response, whose results are used to define the optimization constraints. A feedforward controller is proposed as part of the braking control law. Single-objective optimizations are then carried out to improve the gear walk performance while maintaining the braking efficiency. It is shown that the feedforward control, together with the PID feedback controller, can provide 25.68% reduction of the maximum gear walk angle while satisfying other constraints. The stability and robustness of the optimized braking law is verified under different working conditions. Multiobjective optimization is then used to highlight the trade-off between the gear walk vibration and the braking efficiency.

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Section: Fig 2 Anti-skid Braking Control System Principle Diagrammentioning

confidence: 92%

Section: Stability and Robustness Of Optimized Control Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of gear walk suppression while maintaining braking performance in a main landing gear

Yin

Jiang

Neild

et al. 2019

Aerospace Science and Technology

View full text Add to dashboard Cite

show abstract

“…The effective mobility described the dynamic mobility excited by a single-point installation, and the overall mobility expressed the overall mobility of all points. In reference [13], a multiple-objective genetic algorithm was applied to optimize the key parameters in the control strategy of an electric vehicle electro-hydraulic composite braking system, and the numerical results confirmed a good astringency.…”

Section: F E Iωtmentioning

confidence: 96%

Parameter configuration of composite vibration isolation system using power flow and MOPSO technique

Wei

Zhu

et al. 2016

Mechanics & Industry

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Traditional vibration isolation design often aims to suppress vibrations from machinery equipment, while vibrations in the foundation are usually ignored. In this paper, the "machinery equipmentsingle-stage (double-stage) isolators -thin plate foundation" is considered as a composite vibration isolation system, with equipment deployed at four positions on the plate. The forces transmitted from the equipment to the foundation were derived using a mechanical four-pole connection principle, and the displacement admittance of the junctions between the equipment and the plate was used as the key intermediate variable. Multi-objective optimization for the proposed system was subsequently performed, using fitness functions to reduce the maximum power flow transmitted to the plate and ensure a uniform vibration of the machinery equipment. A multi-objective particle swarm optimization (MOPSO) algorithm was used as the optimization tool which offers the advantages of fewer parameter settings, fast convergence, a strong optimization capability, and possession of a unique, global and optimal solution (gbest solution) based on Pareto dominance. The power flow that induced plate vibrations from the machinery isolation system was introduced in this study, which was used to consider the transmitted force and velocity on the plate simultaneously. An advanced theory of clamped plate vibration aptly supported this strategy, and inspiration was also provided by an innovative optimization strategy based on artificial intelligence.

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“…2 So far, multiple energy storage approaches have been studied. 3 And the most popular one is the electric hybrid vehicle. 4 It has been commercially produced and widely used for years.…”

Section: Introductionmentioning

confidence: 99%

Layout analysis of compressed air and hydraulic energy storage systems for vehicles

Jin

Hong

et al. 2022

Advances in Mechanical Engineering

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The compressed air energy storage system has a better energy density, while the widely used hydraulic one is superior in power performance. Therefore, they are suitable for different hybrid vehicles, which require a comparative study on the performances and vehicle applicability of the broad pressure energy storage system layouts. In this paper, an integrated mathematical model of four basic pressure layouts is presented for characteristic analysis and applicability discussion. Results show that the open volume layout achieves the best power performance with the flow specific power of 13.92 MJ/m3, thus it is suitable for heavy hybrid trucks and mobile machinery. The open mass layout achieves the best energy performance with the energy density of 124.35 MJ/m3, which can be used in light new energy passenger vehicles. And the performance of the closed volume layout is close to the open volume layout with the flow specific power of 9.78 MJ/m3, so it could be applied to middle and light hybrid trucks. This research provides a basis for the hybrid method of pressure energy storage system layouts for vehicles, and could be applied in the design and research of non-electric hybrid vehicles in the near future.

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Multi-objective optimization of the control strategy of electric vehicle electro-hydraulic composite braking system with genetic algorithm

Cited by 11 publications

References 4 publications

Investigation of gear walk suppression while maintaining braking performance in a main landing gear

Investigation of gear walk suppression while maintaining braking performance in a main landing gear

Parameter configuration of composite vibration isolation system using power flow and MOPSO technique

Layout analysis of compressed air and hydraulic energy storage systems for vehicles

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