The Experts below are selected from a list of 3531 Experts worldwide ranked by ideXlab platform
Qingmei Yang - One of the best experts on this subject based on the ideXlab platform.
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Comfort and safety analysis of automotive active suspension based on adaptive filter theory
2009 4th IEEE Conference on Industrial Electronics and Applications, 2009Co-Authors: Qingmei YangAbstract:The Least Means Squares (LMS) adaptive theory is used in active suspension system. With adjusting the weight of adaptive filter, the minimum quadratic performance index is obtained. For two-DOF automotive suspension model, LMS adaptive controller is studied. According to the evaluation method of riding comfort and handling safety of automotive, the acceleration of the Sprung Mass, dynamic tyre load between wheels and road and dynamic deflection between the Sprung Mass and the unSprung Mass are determined as the evaluation targets of suspension performance. The simulation results show that LMS adaptive control is not only simple algorithm but also remarkably effective. The calculation of LMS adaptive control algorithm is much little, and the method is fit for the active control of the suspension system.
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A novel fuzzy controller to improve comfort feature of vehicle
2009 4th IEEE Conference on Industrial Electronics and Applications, 2009Co-Authors: Qingmei Yang, Jiammin SunAbstract:Vibrations make the riding comfort and handling safety is worse in vehicle operating at high speeds. This research is conducted to demonstrate advantages of vehicle active suspension. This paper presents the design of a novel fuzzy control structure to improve stability of vehicles with semi-active suspension system. The effects of active suspension system on the acceleration of the Sprung Mass, dynamic tire load between wheels and road and dynamic deflection between the Sprung Mass and the unSprung Mass have also been investigated. For two degree-of-freedom vehicle model, the simulation of vehicle performance in road signal is studied. To show the effectiveness of the proposed controller, comparison is made with the passive suspension system. Results show that the fuzzy controller can reduce effectively control the vibration of vehicle system.
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On control and performance evaluation of active suspension system
2009 International Conference on Mechatronics and Automation, 2009Co-Authors: Qingmei YangAbstract:For the riding comfort and handling safety of vehicle, an active suspension system with adjustable fuzzy controller is advanced. According to the evaluation method of vehicle vibration performance, the acceleration of the Sprung Mass, dynamic tire load between wheels and road and dynamic deflection between the Sprung Mass and the unSprung Mass are determined as the evaluation targets of suspension performance. For two degree-of-freedom (DOF) vehicle model, the simulation of vehicle performance in road signal is studied. Its results show the active suspension controller can reduce the acceleration of the Sprung Mass by a factor of 20. On the experiment study of vehicle model, the results further prove that the active suspension controller can effectively control the vibration of vehicle system.
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RAM - Modeling and Intelligent Control of Vehicle Active Suspension System
2008 IEEE Conference on Robotics Automation and Mechatronics, 2008Co-Authors: Qingmei YangAbstract:Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the Sprung Mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the Sprung Mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the Sprung Mass.
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RAM - Decreasing Vibration of Vehicle Using Combined Suspension System
2008 IEEE Conference on Robotics Automation and Mechatronics, 2008Co-Authors: Qingmei YangAbstract:A kind of active suspension system combined with passive suspensions and active components is addressed. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The least means squares adaptive algorithm that guarantees system optimal control, is presented and used to find the optimal suspension system design. For two-DOF vehicle suspension model, LMS adaptive controller is designed. The acceleration of the Sprung Mass, dynamic tyre load between wheels and road and dynamic deflection between the Sprung Mass and the unSprung Mass are determined as the evaluation targets of suspension performance. For the combined suspension, compared with passive suspension, acceleration of Sprung Mass acceleration under the road input model has all decreased largely as 8-10 times in high frequency resonance band or low frequency resonance band. The design exhibits superior performance compared to passive suspension.
Jiammin Sun - One of the best experts on this subject based on the ideXlab platform.
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A novel fuzzy controller to improve comfort feature of vehicle
2009 4th IEEE Conference on Industrial Electronics and Applications, 2009Co-Authors: Qingmei Yang, Jiammin SunAbstract:Vibrations make the riding comfort and handling safety is worse in vehicle operating at high speeds. This research is conducted to demonstrate advantages of vehicle active suspension. This paper presents the design of a novel fuzzy control structure to improve stability of vehicles with semi-active suspension system. The effects of active suspension system on the acceleration of the Sprung Mass, dynamic tire load between wheels and road and dynamic deflection between the Sprung Mass and the unSprung Mass have also been investigated. For two degree-of-freedom vehicle model, the simulation of vehicle performance in road signal is studied. To show the effectiveness of the proposed controller, comparison is made with the passive suspension system. Results show that the fuzzy controller can reduce effectively control the vibration of vehicle system.
M S Gujarathi - One of the best experts on this subject based on the ideXlab platform.
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Roughness model describing heavy vehicle-pavement interaction
Transportation Research Record, 1995Co-Authors: A. T. Papagiannakis, M S GujarathiAbstract:The pavement roughness characteristics that affect interaction between pavement and heavy vehicles are addressed. A roughness model describing the pavement roughness attributes affecting heavy vehicles is presented. Dynamic vehicle response data from two sources were analyzed, namely, experimental data obtained with the instrumented vehicle developed by the National Research Council of Canada and simulated data obtained with a quarter-vehicle simulation. It was found that the vehicle response parameter of interest in this interaction is the Sprung Mass vehicle acceleration because it relates to both pavement and vehicle damage as well as to ride quality and cargo damage. This was demonstrated by analyzing the transfer functions of both the dynamic axle load and the vertical Sprung Mass acceleration over a range of pavement roughnesses and vehicle speeds. The Sprung Mass vertical acceleration transfer function showed sensitivity to a pavement roughness excitation frequency of 3.5 Hz. A pavement roughness statistic was proposed that is calculated as follows : (a) calculate the spectral density of the pavement roughness profile, (b) multiply this spectral density by the square of a transfer function to obtain the spectral density of the vertical Sprung Mass acceleration of the reference quarter vehicle selected, and (c) calculate the integral of the spectral density of the vertical Sprung Mass acceleration over the full frequency spectrum and take the square root. The resulting statistic has units of energy per unit Mass per unit length of pavement traveled and represents the energy input from the road to the vehicle and vice versa.
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A ROUGHNESS MODEL DESCRIBING HEAVY VEHICLE-PAVEMENT INTERACTION. FINAL RESEARCH REPORT
1995Co-Authors: T Papagiannakis, M S GujarathiAbstract:This study deals with the pavement roughness characteristics that affect pavement-heavy vehicle interaction. Dynamic vehicle response data from two sources were analyzed, namely experimental data obtained with the instrumented vehicle developed by the National Research Council of Canada (NRCC) and simulated data obtained with a quarter-vehicle simulation. It was found that the vehicle response parameter of interest in this interaction is the Sprung Mass vehicle acceleration because it relates to both pavement/vehicle damage as well as to ride quality/cargo damage. The Sprung Mass vertical acceleration transfer function showed a distinct sensitivity to a pavement roughness excitation frequency of 3.5 Hz. A pavement roughness statistic was proposed based on the vertical Sprung acceleration of the Sprung Mass. It is calculated by multiplying the spectral density of the roughness profile by the square of a reference transfer function and integrating the result. This procedure was implemented into a PC-based computer software program called TRRI (Truck Response to Roughness Index).
Sun Jian-min - One of the best experts on this subject based on the ideXlab platform.
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Adaptive Fuzzy Control for Vehicle Suspension System
Journal of Tianjin University, 2020Co-Authors: Sun Jian-minAbstract:The riding comfort and handling safety of vehicle are regarded as control aims. The acceleration of the Sprung Mass, dynamic load between wheel and road and dynamic deflection between the Sprung Mass and the unSprung Mass are determined as the evaluation target of vehicle suspension performance. For the road-vehicle system, an adjustable fuzzy control algorithm by which fuzzy control rule tables can be obtained with the numerical calculation is advanced. For two degrees of freedom (DOF) vehicle model, the simulation of vehicle performance with road signal is studied. Compared with adaptive active control suspension system, the simulation results show the adjustable fuzzy controller can reduce the acceleration of the Sprung Mass by a factor of 20. According to the experiment verification of the vehicle model, the algorithm can effectively control the vibration of vehicle system.
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Simulation analysis of adaptive semi-active control to hydro-pneumatic suspension
Hoisting and Conveying Machinery, 2020Co-Authors: Sun Jian-minAbstract:The vibration and shock on construction vehicles could be attenuated by using semi - active hydro - pneumatic suspension. For a vehicle model with two degrees of freedom, running safety and smoothness comfort are regarded as the control targets. According to the Least Means Squares (LMS) adaptive filter algorithm, the adaptive controller of semi - active hydro -pneumatic suspension is designed. Simulation results show that compared with the passive hydro - pneumatic suspension, Sprung Mass acceleration, dynamic load between wheel and road and dynamic deflection between Sprung Mass and unSprung Mass are obviously unproved, and that semi-active suspension incorporating adaptive filter technology could effectively control the vibration and shock on construction vehicles.
Jinqiu Zhang - One of the best experts on this subject based on the ideXlab platform.
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analysis of the stability of nonlinear suspension system with slow varying Sprung Mass under dual excitation
Journal of Sound and Vibration, 2018Co-Authors: Jinqiu Zhang, Mingmei Zhao, Xin LiAbstract:Abstract This study investigated the stability of vibration in a nonlinear suspension system with slow-varying Sprung Mass under dual-excitation. A mathematical model of the system was first established and then solved using the multi-scale method. Finally, the amplitude-frequency curve of vehicle vibration, the solution's stable region and time-domain curve in Hopf bifurcation were derived. The obtained results revealed that an increase in the lower excitation would reduce the system's stability while an increase in the upper excitation can make the system more stable. The slow-varying Sprung Mass will change the system's damping from negative to positive, leading to the appearance of limit cycle and Hopf bifurcation. As a result, the vehicle's vibration state is forced to change. The stability of this system is extremely fragile under the effect of dynamic Hopf bifurcation as well as static bifurcation.
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analysis of dynamic stability of nonlinear suspension concerning slowly varying Sprung Mass
Shock and Vibration, 2017Co-Authors: Jinqiu Zhang, Mingmei Zhao, Hu PengAbstract:In this paper, the stability of vehicle concerning the slow-varying Sprung Mass is analyzed based on two degrees of freedom quarter-car model. A mathematical model of vehicle is established, the nonlinear vibration caused by Sprung Mass vibration is solved, and frequency curve is obtained. The characteristics of a stable solution and the parameters affecting the stability are analyzed. The numeric solution shows that a slow-varying Sprung Mass is equivalent to adding a negative damping coefficient to the suspension system, making the effective damping coefficient change from negative to positive. Such changing parameters lead to Hopf bifurcation and a shrinking limit cycle. The simulation results indicate the existence of static as well as dynamic bifurcation and the result is a change in the final stable vibration of the suspension. Even the tiny vibration of the Sprung Mass will lead to amplitude mutation, leading to the Sprung Mass instability.
