Hydro-Pneumatic Passive Suspension System Performance Analysis using AMESim Software

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Nouby M. Ghazaly ◽  
Ahmad O. Moaaz
Keyword(s):  
Mathematical Model ◽  
Performance Analysis ◽  
System Performance ◽  
Suspension System ◽  
Road Surface ◽  
Passive Suspension ◽  
Suspension Parameters ◽  
Working Space ◽  
Pneumatic Suspension ◽  
Passive Suspension System

In this research, a mathematical model of quarter car hydro-pneumatic suspension system is built and developed using the AMESim software. The influence of hydro-pneumatic suspension system performance on the suspension parameters is presented on random road surface. The comparisons between passive and hydro-pneumatic suspension system is plotted. The result showed that the hydro­ pneumatic suspension system acceleration is reduced by 50%, 12% reduction in suspension working space and 3% reduction in dynamic tyre deflection in comparison with the traditional passive suspension system.

scholarly journals Artificial neural network predication and validation of optimum suspension parameters of a passive suspension system

2019 ◽  
Vol 1 (6) ◽  
Author(s):  
Mahesh P. Nagarkar ◽  
M. A. El-Gohary ◽  
Yogesh J. Bhalerao ◽  
Gahininath J. Vikhe Patil ◽  
Rahul N. Zaware Patil
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Suspension System ◽  
Passive Suspension ◽  
Suspension Parameters ◽  
Passive Suspension System ◽  
Artificial Neural

Comparison of Control Strategies Applied to Nonlinear Quarterly Car Passive Suspension System

2015 ◽  
Vol 8 (3) ◽  
pp. 203
Author(s):  
Muhammad Sani Gaya ◽  
Amir Bature ◽  
Lukman A. Yusuf ◽  
I. S. Madugu ◽  
Ukashatu Abubakar ◽  
...  
Keyword(s):  
Control Strategies ◽  
Suspension System ◽  
Passive Suspension ◽  
Passive Suspension System

Multi-Objective Optimal Design of Passive Suspension System With Inerter Damper

2018 ◽  
Author(s):  
Xiaotian Xu ◽  
Yousef Sardahi ◽  
Chenyu Zheng
Keyword(s):  
Optimal Design ◽  
Suspension System ◽  
Design Parameters ◽  
Head Acceleration ◽  
Crest Factor ◽  
Nsga Ii ◽  
Passive Suspension ◽  
Trade Offs ◽  
Passive Suspension System ◽  
Unsprung Mass

This paper presents a many-objective optimal design of a four-degree-of-freedom passive suspension system with an inerter device. In the optimization process, four objectives are considered: passenger’s head acceleration (HA), crest factor (CF), suspension deflection (SD), and tire deflection (TD). The former two objectives are important for the health and comfort of the driver and the latter two quantify the suspension system performance. The spring ks and damping cs constants between the sprung mass and unsprung mass, the inertance coefficient B, and the tire spring constant ky are considered as design parameters. The non-dominated sorting genetic algorithm (NSGA-II) is used to solve this optimization problem. The results show that there are many optimal trade-offs among the design objectives that could be applicable to suspension design in the industry.

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 Design of Passive Suspension System of Railway Vehicles via Control Theory

2008 ◽  
Vol 2 (2) ◽  
pp. 518-527 ◽  
Author(s):  
Hung Chi NGUYEN ◽  
Akira SONE ◽  
Daisuke IBA ◽  
Arata MASUDA
Keyword(s):  
Control Theory ◽  
Suspension System ◽  
Passive Suspension ◽  
Railway Vehicles ◽  
Passive Suspension System

A New Variable Stiffness Suspension Mechanism

2011 ◽  
Author(s):  
Olugbenga M. Anubi ◽  
Carl D. Crane
Keyword(s):  
Transfer Function ◽  
Ride Comfort ◽  
Main Idea ◽  
Variable Stiffness ◽  
Suspension System ◽  
Passive Suspension ◽  
Quarter Car Model ◽  
Road Disturbance ◽  
Passive Suspension System ◽  
Suspension Performance

A new variable stiffness suspension system based on a recent variable stiffness mechanism is proposed. The overall system is composed of the traditional passive suspension system augmented with a variable stiffness mechanism. The main idea is to improve suspension performance by varying stiffness in response to road disturbance. The system is analyzed using a quarter car model. The passive case shows much better performance in ride comfort over the tradition counterpart. Analysis of the invariant equation shows that the car body acceleration transfer function magnitude can be reduced at both the tire-hop and rattle space frequencies using the lever displacement transfer function thereby resulting in a better performance over the traditional passive suspension system. An H∞ controller is designed to correct for the performance degradation in the rattle space thereby providing the best trade-off between the ride comfort, suspension deflection and road holding.

scholarly journals Measurement of Vibrations in Two Tower-Typed Assistant Personal Robot Implementations with and without a Passive Suspension System

Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 1122 ◽  
Author(s):  
Javier Moreno ◽  
Eduard Clotet ◽  
Marcel Tresanchez ◽  
Dani Martínez ◽  
Jordi Casanovas ◽  
...  
Keyword(s):  
Suspension System ◽  
Passive Suspension ◽  
Passive Suspension System ◽  
Personal Robot
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