Numerical Studies Using Full Car Model for Combined Primary and Cabin Suspension

Sharma, Sanjay; Pare, Vinod; Chouksey, Manoj; Rawal, B.R.

doi:10.1016/j.protcy.2016.03.014

Cited by 22 publications

(7 citation statements)

References 9 publications

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“…Thus, the obtained minimal realization model has minimal order and the same response characteristics as the original model system. A minimal realized system is both controllable and observable [22], [23]. When we split out the Figure 4(a) it looks as displayed in the Figure 4(b).…”

Section: Systemanalysis and Controller Designmentioning

confidence: 99%

Optimization of automobile active suspension system using minimal order

Finecomes

Gebre²,

Mesene

et al. 2022

IJECE

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<p><span>This paper presents an analysis and design of linear quadratic regulator for reduced order full car suspension model incorporating the dynamics of the actuator to improve system performance, aims at benefiting: Ride comfort, long life of vehicle, and stability of vehicle. Vehicle’s road holding or handling and braking for good active safety and driving pleasure, and keeping vehicle occupants comfortable and reasonably well isolated from road noise, bumps, and vibrations are become a key research area conducted by many researchers around the globe. Different researchers were tested effectiveness of different controllers for different vehicle model without considering the actuator dynamics. In this paper full vehicle model was reduced to a minimal order using minimal realization technique. The entire system responses were simulated in MATLAB/Simulink environment. The effectiveness of linear quadratic regulator controller was compared for the system model with and without actuator dynamics for different road profiles. The simulation results were indicated that percentage reduction in the peak value of vertical and horizontal velocity for the linear quadratic regulator with actuator dynamics relative to linear quadratic regulator without actuator dynamics was 28.57%. Overall simulation results were demonstrated that proposed control scheme has able to improve the effectiveness of the car model for both ride comfort and stability.</span></p>

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Section: Systemanalysis and Controller Designmentioning

confidence: 99%

Optimization of automobile active suspension system using minimal order

Finecomes

Gebre²,

Mesene

et al. 2022

IJECE

View full text Add to dashboard Cite

show abstract

“…A full-car active suspension laboratory setup was built to emulate the behavior of the widely available theoretical full-car suspension model [25][26][27][28]. The physical laboratory setup is shown in Figure 1, with the corresponding laboratory setup model diagram shown in Figure 2.…”

Section: Setup Propertiesmentioning

confidence: 99%

Optimal Hardware and Control Co-Design Applied to an Active Car Suspension Setup

et al. 2021

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For complex systems, it is not easy to obtain optimal designs for the hardware architecture and control configurations. Every design aspect influences the final performance, and often the interactions of the different components cannot be clearly determined in advance. In this work, a novel co-design optimization method was applied that allows the optimal placement and selection of actuators and sensors to be performed simultaneously with the determination of the control architecture and associated controller tuning parameters. This novel co-design method was applied to a state-space model of a downscaled active car suspension laboratory setup. This setup mimics a car driving over a specific road surface while active components in the suspension have to increase the driver’s comfort by counteracting unwanted vibrations. The result of this co-design optimization methodology is a Pareto front that graphically represents the trade-off between the maximum performance and the total implementation cost; the co-design results were validated with measurements of the physical active car suspension setup. The obtained controller tuning parameters are compared herein with existing controller tuning methods to demonstrate that the co-design method is able to determine optimal controller tuning parameters.

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“…This research makes use of a series of springs that follow the shock to withstand the stresses produced by the irregularities of the terrain, providing greater stability, passenger comfort, aid to the recoil of the shock at the time of the shock, decreasing the pressure exerted in this, so a coil spring of compression is used (The helical spring is the most widely used on the market nationally in Colombia for general use in valves, greasers and shock absorbers) [10]. There are cylindric, conical, bionic and stamping coil compression springs, however, a cylindrical helical spring will be used, as this represents better attributes because it withstands lower tension than the other types of springs, so it distributes the loads evenly throughout it [11,12,13].…”

Section: Compression Spring or Springsmentioning

confidence: 99%

Suspension system design for a vehicle under BAJA SAE parameters

et al. 2020

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This research focuses his study on the design of a suspension system for a BAJA SAE vehicle under the PARAMETERS SAE (Society of Automotive Engineers). This society organizes seventeen (17) student competitions in eight (8) design series between university students called as Collegiate Design Competitions and Collegiate Design Contests, which is included representative themes that apply to vehicles Formula SAE, Formula Hybrid, SAE Aero Design, BAJA SAE, and SAE Clean Snowmobile Challenge. This research article evaluates the types of suspension that are implemented in mini-baja vehicles, and which, in turn, complies with the regulations established by the SAE competition of the year 2020. The methodology used from the mechanical engineering and control design components, use mathematical equations that govern dynamic movement to evaluate the behavior of the suspension system that through a CAD system, achieves modeling in a real environment, evaluating factors such as material, part dimensions or system selection, which can aﬀect its proper functioning. This research is intended to support future applications, where there are suspension systems that allow to absorb the irregularities of the terrain with loads, where it is transmitted in less proportion according to the structure of the vehicle improving the experience of handling and maneuverability required for this type of student competitions, meeting the parameters established by SAE.

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Numerical Studies Using Full Car Model for Combined Primary and Cabin Suspension

Cited by 22 publications

References 9 publications

Optimization of automobile active suspension system using minimal order

Optimization of automobile active suspension system using minimal order

Optimal Hardware and Control Co-Design Applied to an Active Car Suspension Setup

Suspension system design for a vehicle under BAJA SAE parameters

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