Adaptive soft computing paradigm for a full-car active suspension system with driver biodynamic vibration damping control

Riaz, Shah; Khan, Laiq

doi:10.1007/s40430-017-0827-4

Cited by 4 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, 4 -dofs human model is combined with 7 -dofs full car model to analyse the root-mean-squares (rms) acceleration of each segment of the seated human model. In another study, Riaz and Khan (2017) implemented the neuro-fuzzy controller to dampen the vehicle vibrations and to improve the ride comfort of human beings. They coupled the 8- dofs full car model with 19- dofs biomechanical model to predict the accelerations of various human organs.…”

Section: Introductionmentioning

confidence: 99%

Multi-body modelling and ride comfort analysis of a seated occupant under whole-body vibration

Guruguntla

Lal

2022

Journal of Vibration and Control

View full text Add to dashboard Cite

Seated occupants of any on/off-road vehicle are continuously exposed to undue low-frequency mechanical whole-body vibration ( WBV) owing to the vibration conveyed from seat and backrest because occupants need to compromise with comfort and safety, leading to several musculoskeletal disorders and injuries in the body. Pain in the lumbar region is one of the most common problems that develop because of force transmitted from the backrest. Thus, consideration of backrest is highly essential while developing a biomechanical model for ride comfort analysis. For this purpose, a 20 degrees-of-freedom ( dofs) biomechanical model has been proposed with a backrest to analyse cross-coupled segmental transmissibility. The interconnection between different segments of mass and backrest are modelled using eight linearized (direct as well as cross-coupled) stiffness and damping parameters. Biomechanical model parameters are estimated and optimized through a multi-objective firefly algorithm by minimizing the sum of squares error difference between analytical results and experimental segmental transmissibility published in the literature. Subsequently, ride comfort analysis is performed by integrating the proposed model with 7- dofs passenger car model. For different body segments, simulated results are obtained in terms of vertical accelerations and compared with ride comfort standards as per ISO 2631-1:1997. Additionally, a sensitivity analysis (±20% variation in mass, stiffness and damping) is performed to enhance the ride comfort of the occupant. The findings suggest that designers must focus on the pelvis, lower and upper back regions to improve the ride comfort of the occupants. The concepts and ideas outlined in this article are directly applicable in making human dummies, car suspension and seat design in the industry.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-body modelling and ride comfort analysis of a seated occupant under whole-body vibration

Guruguntla

Lal

2022

Journal of Vibration and Control

View full text Add to dashboard Cite

show abstract

“…Zhang and Gong (2018) designed a robust passive fault tolerant control scheme based on 𝐻 2 /𝐻 ∞ and integral sliding mode passive fault tolerant control scheme based on 𝐻 2 /𝐻 ∞ to improve the ride comfort of the active suspension system. In another study, Riaz and Khan (2017) presented a nonlinear full car active suspension system with seated driver biodynamics. To get the low frequency of vibrations, they utilized a neuro-fuzzy adaptive paradigm in the vehicle model.…”

Section: Introductionmentioning

confidence: 99%

Linear Quadratic Regulator Based Control Device for Active Suspension System with Enhanced Vehicle Ride Comfort

Putra

Yakub

Rasid³

et al. 2021

JSAEM

View full text Add to dashboard Cite

The suspension system is required in an automobile in order to absorb shock that comes from various type of disturbances such as irregular road profile, engine vibrations and wheel. Besides, the suspension plays an important part in enhancing the passenger ride comfort. The suspension will make sure that the tire is always contacted with the road for a better grip and braking. Conventionally, passive suspension has been used in car manufacturing that leads to huge vibrations that affect the ride quality. This is because ride comfort of passengers gets affected by overshoot and settling time of vehicle under vibration. Therefore, a good controller design is required to minimize the vibrations. In this research, an active suspension of quarter car model that considers only vertical movement is utilized in the suspension system. This paper presents a Linear Quadratic Regulator (LQR) method to enhance the vehicle ride comfort towards the vibration of the suspension system. The control design approach is then compared with the classical control which is the Proportional Integral Derivative (PID) that is set as a benchmark control. The results for both controllers are evaluated through simulations in MATLAB and Simulink Software. Other than using the passenger vehicle parameters, the parameters of bus are also tested into the system to investigate the vehicle performance by taking the bumps and road pavements as road disturbances. The results obtained from the simulations show that the responses of the quadratic based approach give the significant improvement in minimizing the vibration and fast settling time compared to passive and PID control.

show abstract

“…Although the ESP is really effective for vehicle stability control and mitigate rollover situations, other means of control, so as active suspension [2][3][4], active steering [5,6] and active camber [7,8], can contribute to vehicle stability control. Furthermore, many studies have shown that nowadays there is a tendency to integrate two or more technologies to achieve stability control [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…Flow chart employed to calculate the rear steering and camber angles errors due to actuators inaccuracies and manufacturing tolerances of the mechanism links By using Eqs. (1) and(2), a relation between the displacement of the actuator 1, s 1 , and the angle Θ can be obtained by Eq. (3).…”

mentioning

confidence: 99%

Error analysis for an active geometry control suspension system

Malvezzi

Coelho

2018

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

In order to improve the safety and comfort of passenger cars, many techniques have been proposed. Among them, the utilization of parallel mechanisms in rear suspensions has a great potential to increase the performance and stability of vehicles. In this paper, the error analysis of camber and rear steering angles, due to the use of a 3-DOF parallel mechanism as a vehicle suspension, is developed. Basically, two error sources are taken into consideration here, namely, manufacturing tolerances and actuators inaccuracies. In order to evaluate camber and rear steering angles, a kinematic model is derived. Then, a prediction of errors associated with those angles is conducted by two distinct methods. One method performs an error mapping inside the mechanism workspace, while the other one employs a parametric optimization. Finally, an impact of predicted errors on a vehicle dynamics is evaluated by performing three manoeuvres: steady-state cornering, fishhook and double lane change. The approach presented here and results obtained can contribute to other new researches about vehicle control systems. Keywords Camber error analysis • Rear steering angle error analysis • Automotive suspension • Active chassis systems • Vehicle dynamics • Parallel mechanism List of symbols Latin letters a y Vehicle lateral acceleration (m/s 2) K γ Camber gain (s 2 rad/m) K δ Steering wheel gain (adm) K v Yaw rate factor (s) K roll Auxiliary roll moment gain (Ns 2) M R Auxiliary roll moment at rear axle (Nm) r Vehicle yaw rate (rad/s) Greek letters ε Toe angle (rad) γ Camber angle (rad) δ w Steering wheel angle (rad)

show abstract

Adaptive soft computing paradigm for a full-car active suspension system with driver biodynamic vibration damping control

Cited by 4 publications

References 35 publications

Multi-body modelling and ride comfort analysis of a seated occupant under whole-body vibration

Multi-body modelling and ride comfort analysis of a seated occupant under whole-body vibration

Linear Quadratic Regulator Based Control Device for Active Suspension System with Enhanced Vehicle Ride Comfort

Error analysis for an active geometry control suspension system

Contact Info

Product

Resources

About