Optimization of Vehicle Suspension Parameters for Ride Comfort Based on RSM

2014 ◽  
Author(s):  
M P
Keyword(s):  
Ride Comfort ◽  
Vehicle Suspension ◽  
Suspension Parameters

Multi-Objective Optimization of Vehicle Air Suspension Based on Simulink-Mfile Mixed Programming

2014 ◽  
Vol 509 ◽  
pp. 63-69 ◽  
Author(s):  
Jin Hui Li ◽  
Jie He ◽  
Xu Hong Li
Keyword(s):  
Ride Comfort ◽  
Optimization Method ◽  
Vehicle Suspension ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
The Road ◽  
Suspension Parameters ◽  
Air Suspension ◽  
Mixed Programming ◽  
Road Roughness

In order to reduce the road damage of heavy trucks, comprehensively considering ride comfort and road friendliness, the multi-objective optimization method of vehicle suspension parameters with non-linear air spring was presented based on Simulink-Mfile mixed programming. The simulation model including vehicle dynamics module, road roughness module, ride comfort and road friendliness evaluation index modules was constructed in Simulink platform, and the multi-objective optimization model was developed in Mfile program which took the linear weighted sum of ride comfort and road friendliness indexes as the objective. Then the suspension parameters were optimized with genetic algorithm (GA). The results showed that, compared with before optimization, the vehicle ride comfort and road friendliness could be synthetically improved. And with the Simulink-Mfile mixed programming method, the optimization of nonlinear vehicle suspension could be successfully solved in time domain, which could provide a new idea for vehicle suspension design.

Analysis, Design, and Optimization of High Speed Vehicle Suspensions Using State Variable Techniques

1974 ◽  
Vol 96 (2) ◽  
pp. 193-203 ◽  
Author(s):  
J. K. Hedrick ◽  
G. F. Billington ◽  
D. A. Dreesbach
Keyword(s):  
High Speed ◽  
Optimization Problems ◽  
Vertical Plane ◽  
Computer Application ◽  
Vehicle Suspension ◽  
State Variables ◽  
State Variable ◽  
Suspension Parameters ◽  
Suspension Model ◽  
High Speed Vehicle

This article applies state variable techniques to high speed vehicle suspension design. When a reasonably complex suspension model is treated, the greater adaptability of state variable techniques to digital computer application makes it more attractive than the commonly used integral transform method. A vehicle suspension model is developed, state variable techniques are applied, numerical methods are presented, and, finally, an optimization algorithm is chosen to select suspension parameters. A fairly complete bibliography is included in each of these areas. The state variable technique is illustrated in the solution of two suspension optimization problems. First, the vertical plane suspension of a high speed vehicle subject to guideway and aerodynamic inputs will be analyzed. The vehicle model, including primary and secondary suspension systems, and subject to both heave and pitch motions, has thirteen state variables. Second, the horizontal plane suspension of a high speed vehicle subject to guideway and lateral aerodynamic inputs is analyzed. This model also has thirteen state variables. The suspension parameters of both these models are optimized. Numerical results are presented for a representative vehicle, showing time response, mean square values, optimized suspension parameters, system eigenvalues, and acceleration spectral densities.

Root cause analysis of rattle noise in twin-tube vehicle dampers

2021 ◽  
pp. 095440702110652
Author(s):  
Marian Sikora ◽  
Janusz Gołdasz
Keyword(s):  
Design Of Experiment ◽  
Ride Comfort ◽  
Design Parameters ◽  
Vehicle Suspension ◽  
Experiment Study ◽  
Cause Analysis ◽  
Root Cause ◽  
Main Effect ◽  
Definition Of ◽  
Insight Into

The aim of this work is to provide an insight into the rattle noise phenomena occurring in double-tube (twin-tube) vehicle suspension dampers. In the dampers the particular phenomenon results from interactions between the valve(s) and the fluid passing through them. The rattling noise phenomena is known to degrade the vehicle passenger’s perception of ride comfort as well as to influence the performance of the dampers at low and medium speeds in particular. In the paper the authors reveal the results of a DOE (Design of Experiment) study involving several design parameters known to affect rattling occurrence. By running a series of purpose-designed tests the authors investigate not only the contribution of each particular parameter but the interactions between them. The results are presented in the form of pareto charts, main effect plots as well as interaction plots. It is expected the outcome of the analysis will aid in a better comprehension of the phenomena as well the definition of valve configurations to minimize their performance degradation.

Active Vehicle Suspension Control Using Full State-Feedback Controller

2015 ◽  
Vol 1115 ◽  
pp. 440-445 ◽  
Author(s):  
Musa Mohammed Bello ◽  
Amir Akramin Shafie ◽  
Raisuddin Khan
Keyword(s):  
State Feedback ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Feedback Controller ◽  
Vehicle Suspension ◽  
Passive Suspension ◽  
Full State ◽  
Full State Feedback ◽  
Passive Suspension System

The main purpose of vehicle suspension system is to isolate the vehicle main body from any road geometrical irregularity in order to improve the passengers ride comfort and to maintain good handling stability. The present work aim at designing a control system for an active suspension system to be applied in today’s automotive industries. The design implementation involves construction of a state space model for quarter car with two degree of freedom and a development of full state-feedback controller. The performance of the active suspension system was assessed by comparing it response with that of the passive suspension system. Simulation using Matlab/Simulink environment shows that, even at resonant frequency the active suspension system produces a good dynamic response and a better ride comfort when compared to the passive suspension system.

scholarly journals Active Vehicle Suspension with Anti-Roll System Based on Advanced Sliding Mode Controller

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5560
Author(s):  
Jarosław Konieczny ◽  
Marek Sibielak ◽  
Waldemar Rączka
Keyword(s):  
Ride Comfort ◽  
Sliding Mode ◽  
Synthesis Method ◽  
Active Suspension ◽  
Vehicle Suspension ◽  
Sliding Mode Controller ◽  
Energy Consumption Optimization ◽  
Suspension Control ◽  
Vertical Displacements ◽  
Linear Regulators

In the paper authors consider the active suspension of the wheeled vehicle. The proposed controller consists of a sliding mode controller used to roll reduction and linear regulators with quadratic performance index (LQRs) for struts control was shown. The energy consumption optimization was taken into account at the stage of strut controllers synthesis. The studied system is half of the active vehicle suspension using hydraulic actuators to increase the ride comfort and keeping safety. Instead of installing additional actuators in the form of active anti-roll bars, it has been decided to expand the active suspension control algorithm by adding extra functionality that accounts for the roll. The suggested algorithm synthesis method is based on the object decomposition into two subsystems whose controllers can be synthesized separately. Individual suspension struts are controlled by actuators that use the controllers whose parameters have been calculated with the LQR method. The mathematical model of the actuator applied in the work takes into account its nonlinear nature and the dynamics of the servovalve. The simulation tests of the built active suspension control system have been performed. In the proposed solution, the vertical displacements caused by uneven road surface are reduced by controllers related directly to suspension strut actuators.

Vibration Performance Optimization of the Semi-Active Suspension with Fuzzy Control Method

2012 ◽  
Vol 468-471 ◽  
pp. 1123-1127
Author(s):  
Jin Ning Zhi ◽  
Jian Wei Yang ◽  
Jun Zhe Dong
Keyword(s):  
Fuzzy Control ◽  
Dynamic Load ◽  
Performance Optimization ◽  
Ride Comfort ◽  
Control Method ◽  
Heavy Vehicle ◽  
Variable Universe ◽  
Suspension Parameters ◽  
Variable Universe Fuzzy Control ◽  
Five Axis

In order to improve the dynamic performance of five-axis heavy vehicle, a variable universe fuzzy control method is proposed to optimize suspension parameters. Five-axis multi-body dynamic model including electro-hydraulic proportional valve was firstly established in software ADAMS/Car. The variable universe fuzzy controller based on fuzzy neural network was also designed in MATLAB/Simulink, and then the co-simulation was conducted. The dynamic characteristics of five-axis heavy vehicle are studied to verify the effect of suspension parameters optimized by variable universe fuzzy control method in the A, B and C-level random pavement and different speed conditions. Simulation results show that compared with passive suspension, the real-time optimization of variable fuzzy control based on FNN can improve the ride comfort and the dynamic load of tire. Under different driving conditions, ride comfort can be increased by about 25%-30%, and the dynamic load of tire generally decreases by 25%-35%. Therefore this method has a certain practicability and effectiveness.

scholarly journals Enhancing vehicle suspension system control performance based on the improved extension control

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401877386 ◽  
Author(s):  
Hongbo Wang
Keyword(s):  
Fuzzy Control ◽  
System Performance ◽  
Ride Comfort ◽  
Control Method ◽  
Domain Boundary ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Classical Domain ◽  
Vehicle Suspension System ◽  
Takagi Sugeno

Vehicle suspension system is the key part in vehicle chassis, which has influence on the vehicle ride comfort, handling stability, and security. The extension control, which is not constrained by common control method, could further improve the suspension system performance. The 7 degree-of-freedom suspension model is built. The extension controller is designed according to the function differences. In different extension set domains according to the correlation function, the corresponding control strategy is designed to ensure the suspension system obtains optimal performance in the classical domain and expands the controllable range outside the classical domain as large as possible. By adopting game theory, the domain is optimally divided, and the domain boundary control jump is smoothed by introducing Takagi–Sugeno–Kang fuzzy control into the extension control. Through the simulation and results comparison, it is demonstrated that the extension control could further improve the vehicle ride comfort than the optimal control and the extension control ability can be further promoted through domain game and Takagi–Sugeno–Kang fuzzy control. The analysis of the influence of the extension controller parameter varieties on suspension system performance shows that the error-weighted coefficient and control coefficient have significant effect to the suspension system performance.

An investigation into the use of neural networks for the semi-active control of a magnetorheologically damped vehicle suspension

2010 ◽  
Vol 224 (7) ◽  
pp. 829-848 ◽  
Author(s):  
H Metered ◽  
P Bonello ◽  
S O Oyadiji
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Inverse Dynamics ◽  
Ride Comfort ◽  
Mr Damper ◽  
Performance Criteria ◽  
Vehicle Suspension ◽  
Neural Network Controller ◽  
Road Disturbance ◽  
Continuous State

Neural networks are highly useful for the modelling and control of magnetorheological (MR) dampers. A damper controller based on a recurrent neural network (RNN) of the inverse dynamics of an MR damper potentially offers significant advantages over conventional controllers in terms of reliability and cost through the minimal use of sensors. This paper introduces a neural-network-based MR damper controller for use in conjunction with the system controller of a semi-active vehicle suspension. A mathematical model of a semi-active quarter-vehicle suspension using an MR damper is derived. Control performance criteria are evaluated in the time and frequency domains in order to quantify the suspension effectiveness under bump and random road disturbance. Studies using the modified Bouc—Wen model for the MR damper as well as an actual damper fitted in a hardware-in-the-loop simulation (HILS) both showed that the inverse RNN damper controller potentially offers a significantly superior ride comfort and vehicle stability over a conventional MR damper controller based on continuous-state control. The neural network controller produces a smoother and lower input voltage to the MR damper coil, ensuring extended damper life and lower power requirement respectively. Further studies performed using an RNN model of the forward dynamics of the MR damper showed that it is a reliable substitute for HILS for validating multi-damper control applications.

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