Whole body active vibration control of passenger biodynamics in quarter car model under random road excitations using ANFIS gain tuned PID-super twisting control

Singh, Devdutt

doi:10.1007/s40435-020-00623-0

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…For the body, the numerical values regarding mass, stiffness, and damping were obtained from [10], which in turn took the value from [17]. For the rest of parameters, the numerical values were taken from [18], except for c sky , which is empirical, but within a range such that it contributes to generating a force on the order of the actuators used for this type of suspension in compact vehicles. In this case, when looking for the suspended mass, connected to a reference frame in the sky, to move and accelerate as little as possible, a large c sky value is proposed.…”

Section: Case Study and Resultsmentioning

confidence: 99%

Passenger-Oriented Intelligent Suspension with a Biodynamic Model and Skyhook Control

Granados-Monge¹,

Montaño-Moreno²,

Quiroga-Ocaña³

et al. 2021

Advances in Automation and Robotics Research

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Intelligent suspension systems assist in decreasing the impact of road disturbances on passenger comfort, and its design requires a mathematical analysis that includes the elements of the suspension and the passenger's vertical dynamics. The contribution of this research is to merge a 4 degrees-of-freedom (DOF) Boileau-Rakheja biodynamic passenger model with a 3-DOF suspension model to generate more accurate representations of the displacements and accelerations of the main passenger's masses. Moreover, the contribution is complemented with a Skyhook controller in a semi-active 7-DOF one-quarter vehicle suspension to improve passenger comfort, and a case study presents tests in frequency and time domains. The analysis was conducted by establishing a regulatory closed-loop feedback control for a state-space system, simulating its behavior using MATLAB/Simulink, and comparing the results against specific performance criteria. The active suspension's frequency response showed a 40% reduction in the displacement transmissibility of the suspended masses at low frequencies (0-4 Hz), but exhibited a 2-10% increase in the rms acceleration at high frequencies (4-15 Hz). The herein results could be the base for further studies in the passenger comfort and road holding for one quarter, but also for half and full vehicle.

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Section: Case Study and Resultsmentioning

confidence: 99%

Passenger-Oriented Intelligent Suspension with a Biodynamic Model and Skyhook Control

Granados-Monge¹,

Montaño-Moreno²,

Quiroga-Ocaña³

et al. 2021

Advances in Automation and Robotics Research

View full text Add to dashboard Cite

show abstract

Vehicle Suspension System with a Biodynamic model and a Passenger Comfort Oriented Controller

Moreno

Lopez

Alcantar

et al. 2022

2022 International Symposium on Electromobility (ISEM)

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Interval Lower Singleton Fuzzy Optimal Controller Design of Magnetorheological Seat Suspension Integrated with Semi-Active Vehicle Suspension System

Shehata Gad

2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">In this paper, semi-active MR main suspension system based on system controller design to minimize pitch motion linked with MR-controlled seat suspension by considering driver’s biodynamics is investigated. According to a fixed footprint tire model, the transmitted tire force is determined. The linear-quadratic Gaussian (LQG) system controller is able to enhance ride comfort by adjusting damping forces based on an evaluation of body vibration from the dynamic responses. The controlled damping forces are tracked by the signum function controllers to evaluate the supply voltages for the front and rear MR dampers. Based on the sprung mass acceleration level and its derivative as the inputs, the optimal type-2 (T-2) fuzzy seat system controller is designed to regulate the controlled seat MR damper force. The best rate for each linguistic variable is acquired by modifying the range between upper and lower membership functions (MFs), which enables accurate tracking of the seat-damping force. The parameters of the LQG main system controller and the ideal scaling lower ranges of the T-2 fuzzy seat system controller are both explored by a genetic algorithm (GA). The performance of LQG regulated for MR dampers is compared with that of linear-quadratic regulator (LQR) controlled for MR dampers and passive systems to measure the suspension efficacy under bump and random road disturbance. To verify the efficiency of the recommended integrated models on both the main and seat systems, the performance of the proposed ideal T-2 fuzzy-controlled MR semi-active seat suspension is compared with the passive seat suspension. The simulation results show that the LQG controlled connected with the T-2 fuzzy controlled can greatly improve both ride comfort and vehicle stability, among all examined systems.</div></div>

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Whole body active vibration control of passenger biodynamics in quarter car model under random road excitations using ANFIS gain tuned PID-super twisting control

Cited by 3 publications

References 30 publications

Passenger-Oriented Intelligent Suspension with a Biodynamic Model and Skyhook Control

Passenger-Oriented Intelligent Suspension with a Biodynamic Model and Skyhook Control

Vehicle Suspension System with a Biodynamic model and a Passenger Comfort Oriented Controller

Interval Lower Singleton Fuzzy Optimal Controller Design of Magnetorheological Seat Suspension Integrated with Semi-Active Vehicle Suspension System

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