scholarly journals Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yujie Shen ◽  
Long Chen ◽  
Yanling Liu ◽  
Xiaoliang Zhang

An ideal inerter has been applied to various vibration engineering fields because of its superior vibration isolation performance. This paper proposes a new type of fluid inerter and analyzes the nonlinearities including friction and nonlinear damping force caused by the viscosity of fluid. The nonlinear model of fluid inerter is demonstrated by the experiments analysis. Furthermore, the full-car dynamic model involving the nonlinear fluid inerter is established. It has been detected that the performance of the vehicle suspension may be influenced by the nonlinearities of inerter. So, parameters of the suspension system including the spring stiffness and the damping coefficient are optimized by means of QGA (quantum genetic algorithm), which combines the genetic algorithm and quantum computing. Results indicate that, compared with the original nonlinear suspension system, the RMS (root-mean-square) of vertical body acceleration of optimized suspension has decreased by 9.0%, the RMS of pitch angular acceleration has decreased by 19.9%, and the RMS of roll angular acceleration has decreased by 9.6%.

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yanling Liu ◽  
Wentao Zhao ◽  
Xiaofeng Yang ◽  
Long Chen ◽  
Yujie Shen

As a two-terminal mechanical element, the inerter has been successfully applied in various mechanical fields, such as automotive engineering and civil engineering, for passive control and semiactive control. In this paper, a hydraulic electric inerter is considered an active device to suppress the vibration of a vehicle suspension system. The components and working principle of the hydraulic electric inerter are first introduced. On the basis of a force test of the hydraulic electric inerter, nonlinear factors such as friction, the damping force, and the elastic effect are analyzed, and parameter identification methods are adopted to identify the detailed parameters. A dynamic model of the vehicle suspension system employing a nonlinear hydraulic electric inerter is established, and the predictive controller is designed to further improve the vibration isolation performance of the suspension system. Numerical simulations show that the performance of the vehicle ISD (inerter-spring-damper) suspension system is significantly improved compared to the passive suspension. Finally, bench tests are carried out, and the advantages of vehicle ISD suspension are demonstrated. The RMS (root-mean-square) value of the vehicle body acceleration and the RMS value of the suspension working space are reduced by 16.1% and 8.9%, respectively.


Author(s):  
Shaohua Li ◽  
Shaopu Yang

In this work, primary resonance of a single-degree-of-freedom (SDOF) vehicle suspension system with nonlinear stiffness and nonlinear damping under multi-frequency excitations is investigated. The primary resonance equation is obtained by average method, and then the system’s bifurcation behaviors are studied by singularity theory. In addition, the effect of changing physical model parameters on the system’s primary resonance is studied.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Hui Pang ◽  
Ying Chen ◽  
JiaNan Chen ◽  
Xue Liu

As the road conditions are completely unknown in the design of a suspension controller, an improved linear quadratic and Gaussian distributed (LQG) controller is proposed for active suspension system without considering road input signals. The main purpose is to optimize the vehicle body acceleration, pitching angular acceleration, displacement of suspension system, and tire dynamic deflection comprehensively. Meanwhile, it will extend the applicability of the LQG controller. Firstly, the half-vehicle and road input mathematical models of an active suspension system are established, with the weight coefficients of each evaluating indicator optimized by using genetic algorithm (GA). Then, a simulation model is built in Matlab/Simulink environment. Finally, a comparison of simulation is conducted to illustrate that the proposed LQG controller can obtain the better comprehensive performance of vehicle suspension system and improve riding comfort and handling safety compared to the conventional one.


1978 ◽  
Vol 100 (3) ◽  
pp. 500-506 ◽  
Author(s):  
E. Esmailzadeh

The suspension system of a vehicle provides the means by which forces and movements are transferred from the body to the wheels and vice versa. While the general outline of vehicle suspension behavior is fairly well known, little interest has been shown in the detailed dynamic performance of the various components. Air springs are perhaps the most versatile and adaptable type of suspension element. They provide practically frictionless action, adjustable load capacity and simplicity of height control. Initially, a vehicle suspension system with a pneumatic isolator connected to a fixed volume tank via parallel plate restrictor is considered. Here the damping is provided by the flow of air through the restricted passage which has an advantage over the conventional viscous shock absorber. Body movements are only considered to be vertical harmonic displacement. An optimization technique is applied to evaluate the optimum values of many parameters involved for which the maximum transmitted motion to the body would be minimum over the broad frequency range. Theoretical expressions for the transmissibility of the body and the wheel, optimum values of mass ratio, stiffness ratio and damping ratio are presented. Design data are presented nondimensionally for parameter variations which are sufficiently broad to encompass a wide range of practical engineering problems.


2016 ◽  
Vol 836 ◽  
pp. 31-36 ◽  
Author(s):  
Unggul Wasiwitono ◽  
Agus Sigit Pramono ◽  
I. Nyoman Sutantra ◽  
Yunarko Triwinarno

The variable stiffness and damping (VSVD) suspension system offers an interesting option to improve driver comfort in an energy efficient way. The aim of this study is to analyze the influence of the spring ratio on the VSVD. The realization of the VSVD is obtained by the application of variable damping with magnetorheological (MR) damper. In this study, the nonlinear damping force characteristic of the MR damper is modeled with the Bouc-Wen model and the road disturbance is modeled by a stationary random process with road displacement power spectral density. It is shown from simulation that VSVD has a potential benefit in improving performance of vehicle suspension.


2018 ◽  
Vol 51 (7-8) ◽  
pp. 336-348 ◽  
Author(s):  
Zahra Tavanaei-Sereshki ◽  
Mohammad Reza Ramezani-al

Quantum genetic algorithm (QGA) is an optimization algorithm based on the probability that combines the idea of quantum computing and traditional genetic algorithm. In this paper, a new type of control law is developed for an underwater vehicle along with the desired path. The proposed controller is based on sliding mode control (SMC) in which the reaching law is modified to overcome two challenging problems, chattering, and sensitivity against noise. The disturbance is considered as a set of sinus waves with different frequencies which its parameters are estimated by Particle Swarm Optimization (PSO). Since QGA has some advantages such as fast convergence speed, small population size, and strong global search capabilities, we use QGA to determine the gain of the proposed controller. Finally, the Lyapunov theorem is used to prove that trajectory-tracking error converges to zero. Simulation results show that QGA can converge to the optimal response with a population consist of one chromosome.


2016 ◽  
Vol 144 ◽  
pp. 1158-1166 ◽  
Author(s):  
Anirban. C. Mitra ◽  
Gourav. J. Desai ◽  
Saaish. R. Patwardhan ◽  
Parag H. Shirke ◽  
Waseem M.H. Kurne ◽  
...  

Author(s):  
Xiang Gao ◽  
Junchuan Niu ◽  
Ruihao Jia ◽  
Zhihui Liu

In order to reuse the energy dissipated by magneto-rheological (MR) damper, a self-powered MR damper is designed and analyzed theoretically. The main thrust of this work is establishing the mechanical-electromagnetic coupling model of quarter vehicle suspension based on self-powered MR damper, whilst the energy conversion efficiency of self-powered MR damper with electromagnetic parameters changing is investigated. The magnetic circuit model is formulated firstly. The influence of electromagnetic parameters on current in MR damper is analyzed systemically in frequency domain. A multi-objective optimization method is performed to determine the electromagnetic parameters. Subsequently a quarter vehicle suspension system with self-powered MR damper is introduced. The mechanical-electromagnetic coupling model is established. The frequency response function is derived under random road excitation. The vibration isolation capability of the proposed quarter vehicle suspension system is addressed in time and frequency domain respectively. Compared to passive control, the amplitude of sprung mass velocity, acceleration and transmissibility are reduced by 51%, 78% and about 10 dB in time and frequency domain respectively. Finally the energy conversion efficiency of self-powered MR damper with magnetic parameters changing under random road excitation is discussed. The vibration isolation performance of self-powered MR damper is more effective than passive control, especially in resonance range of the suspension system.


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