Constraint optimization of nonlinear McPherson suspension system using genetic algorithm and ADAMS software

Vahedi, Arash; Jamali, Ali

doi:10.1177/10775463211026036

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…In the history of active suspension control applications, many approaches have been studied by researchers to improve comfort and ride handling (Ding et al, 2020; Li et al, 2020; Liu et al, 2019; Konoiko et al, 2019; Talib and Darus 2017; Vahedi and Jamali 2021). As a result of the conflicting nature of performance requirements such as comfort, handling, and suspension displacement, a variety of control strategies such as linear quadratic regulator (LQR) (Sam et al, 2000), adaptive sliding control (Chen and Huang 2005), H∞ and robust H ∞ control (Du and Zhang 2007), sliding mode control (SMC) (Akbari et al, 2010), FL (Cózar et al, 2019; Ejegwa et al, 2021; Elbab et al, 2009; Xu et al, 2021), preview control (Oraby et al, 2007), proportional integral (PI) control (Yildiz and Kopmaz 2017), optimal control (Marzbanrad et al, 2002, 2003), and neural network methods (Al-Holou et al, 2002) have been studied to handle with the trade-off performance criteria for active suspension control.…”

Section: Controller Designmentioning

confidence: 99%

Fuzzy logic and proportional integral derivative based multi-objective optimization of active suspension system of a 4×4 in-wheel motor driven electrical vehicle

Bingül

Yıldız

2022

Journal of Vibration and Control

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This paper considers fuzzy logic and proportional integral derivative based multi-objective optimization of a non-linear active suspension system of a 4 × 4 in-wheel motor-driven electric vehicle by using the non-dominated sorting genetic algorithm II. The active suspension system of the electric vehicle and its controllers are optimized to achieve International Organization for Standardization2631-1 ride comfort and health criteria, also providing the actual working conditions such as roll angle and tire load transfers simultaneously for driving safety. In this regard, a non-linear full electrical vehicle model with quadratic tire and cubic suspension stiffnesses with 11 degrees of freedom and a seat-driver model with 5 degrees of freedom are implemented and optimized regarding seven objective functions determined from the root mean square of head and seat accelerations, crest factor , vibration dose value , the ratio of head and seat accelerations, the ratio of the upper torso and seat acceleration, root mean square upper torso acceleration, and root mean square of suspension, tire, and in-wheel motor displacements. The design variables of the optimization problem are chosen as the stiffnesses and damping coefficients of the suspension, in-wheel motors, and seat, as well as the parameters of the proportional derivative and fuzzy logic controllers. The obtained results demonstrate that significant improvements can be achieved by using a controller over the passive systems. It is also noted that the fuzzy logic controller improves ride comfort and the health criterion over proportional derivative system up to 13%, while the load transfer ratio index showed no adverse change between models concerning the rollover condition. The outcomes of this work clearly state that significant improvements, in terms of vibration exposure, can be achieved with the help of reducing the vibration amplitude of an in-wheel motor-driven electrical vehicle active suspension system by using multi-objective optimization considering a non-linear full vehicle model and realistic working conditions such as tire load transfer and vehicle body roll during cornering circumstances. Thus, obtained results are of utmost importance for manufacturers about the active suspension design process providing both a safe and comfortable driving of in-wheel driven electric vehicles.

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Section: Controller Designmentioning

confidence: 99%

Fuzzy logic and proportional integral derivative based multi-objective optimization of active suspension system of a 4×4 in-wheel motor driven electrical vehicle

Bingül

Yıldız

2022

Journal of Vibration and Control

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“…Therefore, the stability of the waste should be maintained during image collection. In the present study, multi-variable optimization was conducted using the Adams software program [40,41] to shorten the time taken for stabilization of the waste to improve efficiency of the system. Sensitivity analysis was conducted firstly to describe and elucidate the waste separation and sorting mechanisms.…”

Section: Multivariate Optimization Of the Waste Separation And Sortin...mentioning

confidence: 99%

Design and Simulation of Small-Scale Waste Separation and Sorting Equipment

Zhang

2022

Processes

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Environmental pollution is currently a major concern globally owing to increase in the world population and advances in industrialization. An automatic waste separation and sorting equipment for small-scale waste sorting systems was constructed in this paper. A two-DoF (two-degree-of-freedom) parallel sorting mechanism as well as a belt waste separation and feeding mechanism were designed, and 3D models of the mechanism were established. Finite element analysis (FEA) was conducted for the sorting mechanism, and kinematic and dynamic analysis and numerical simulation were performed for the waste and sorting mechanism. The simulation results demonstrated that the spherical waste did not roll out of the platform after leaving the slideway. The waste was stabilized at the center of the platform within a short duration with movement of the collecting mechanism of the platform. The system was optimized to reduce waste separation and sorting time. Stability of the waste motion in the equipment as well as efficiency of the system were significantly improved after optimization. The results showed that the designed equipment can complete separation and sorting of waste materials at lower output power.

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“…4 was established in the Adams software. In order to improve the efficiency of the simulation experiment, the profiling mechanism was simplified when establishing the simulation model (Vahedi et al, 2021). The simplified model consisted of the header, mounting frame, profiled plate and ground.…”

Section: Adams Simulationmentioning

confidence: 99%

Design and Test of Automatic Control System for Header Height of Combine Harvester

RUAN

Jiang

ZHOU

et al. 2022

INMATEH

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Aiming at the problems of poor applicability of traditional header height detection mechanism, poor stability and large lag of automatic control system of combine harvesters, an automatic control system of header height of combine harvester was designed, which mainly included the profiling mechanism, controller, proportional valve, manual operation handle and display module. The profiling detection mechanism was composed of angle sensor, profiling plate, torsion spring and other structures. The key structural parameters of the profiling mechanism were determined by using the Adams simulation software and its working performance was verified. The gray prediction PID algorithm of header height was used to reduce the lag of the control model. The control system detected the height of the header from the ground through the profiling mechanism. After being processed by the controller, the height of the header was changed by adjusting the expansion of the header oil cylinder. The field test results showed that the working performance of the header automatic control system was stable. Under the working conditions of preset header height of 100mm and 200mm, the average deviation of the control system was within 21 mm, which met the real-time control demand of header height during normal operation of combine harvester. This research could provide intelligent design methods of combine harvesters.

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Constraint optimization of nonlinear McPherson suspension system using genetic algorithm and ADAMS software

Cited by 7 publications

References 24 publications

Fuzzy logic and proportional integral derivative based multi-objective optimization of active suspension system of a 4×4 in-wheel motor driven electrical vehicle

Fuzzy logic and proportional integral derivative based multi-objective optimization of active suspension system of a 4×4 in-wheel motor driven electrical vehicle

Design and Simulation of Small-Scale Waste Separation and Sorting Equipment

Design and Test of Automatic Control System for Header Height of Combine Harvester

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