scholarly journals Equivalent Air Spring Suspension Model for Quarter-Passive Model of Passenger Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Haider J. Abid ◽  
Jie Chen ◽  
Ameen A. Nassar
Keyword(s):  
Initial Pressure ◽  
Suspension System ◽  
Air Spring ◽  
Passive Suspension ◽  
Road Profile ◽  
Spring Suspension ◽  
Spring System ◽  
Passive Suspension System ◽  
Suspension Model ◽  
System Equivalence

This paper investigates the GENSIS air spring suspension system equivalence to a passive suspension system. The SIMULINK simulation together with the OptiY optimization is used to obtain the air spring suspension model equivalent to passive suspension system, where the car body response difference from both systems with the same road profile inputs is used as the objective function for optimization (OptiY program). The parameters of air spring system such as initial pressure, volume of bag, length of surge pipe, diameter of surge pipe, and volume of reservoir are obtained from optimization. The simulation results show that the air spring suspension equivalent system can produce responses very close to the passive suspension system.

Controller Design for Convoluted Air Spring System Controlled Suspension

2014 ◽  
Vol 592-594 ◽  
pp. 1025-1029
Author(s):  
Palanisamy Sathishkumar ◽  
Jeyaraj Jancirani ◽  
John Dennie ◽  
B. Arun
Keyword(s):  
Dynamic Behavior ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Air Spring ◽  
Passive Suspension ◽  
Road Profile ◽  
Spring Suspension ◽  
Spring System

This paper focuses on the analysis and controlling automotive vibration using semi-active air spring suspension system by implementing fuzzy and Proportional-Integral derivative (PID) controllers for light vehicles. Due to low transmissibility coefficients and their ability to varying the force generated depends on load capacities the air spring is modelled as an actuator. The dynamic behavior of semi active actuator controlled is contrasted with passive suspension under single bump, double bump and random road profile. The performance of air spring controlled suspension has been investigated. Results show that the fuzzy controller gives optimized results.

scholarly journals Quarter Car Active Suspension System Control Using PID Controller tuned by PSO

2015 ◽  
Vol 11 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Wissam Al-Mutar ◽  
Turki Abdalla
Keyword(s):  
Pid Controller ◽  
Active Suspension ◽  
Suspension System ◽  
System Control ◽  
Hydraulic Actuator ◽  
Passive Suspension ◽  
Car Suspension ◽  
Road Profile ◽  
Passive Suspension System ◽  
Quarter Car

The objective of this paper is to design an efficient control scheme for car suspension system. The purpose of suspension system in vehicles is to get more comfortable riding and good handling with road vibrations. A nonlinear hydraulic actuator is connected to passive suspension system in parallel with damper. The Particles Swarm Optimization is used to tune a PID controller for active suspension system. The designed controller is applied for quarter car suspension system and result is compared with passive suspension system model and input road profile. Simulation results show good performance for the designed controller.

Dynamical Modeling and Neural Network Adaptive Control of Vehicle Suspension

2011 ◽  
Vol 148-149 ◽  
pp. 516-519
Author(s):  
Jun Tao Fei ◽  
Jing Xu
Keyword(s):  
Neural Network ◽  
Suspension System ◽  
The Body ◽  
Vehicle Suspension ◽  
Vertical Acceleration ◽  
Nonlinear Spring ◽  
Passive Suspension ◽  
The Neural Network ◽  
Spring Suspension ◽  
Suspension Model

This paper attempts to establish the vibration control technology based on neural network control. First, the dynamic model of vehicle suspension system is discussed, and the linear passive suspension model and nonlinear spring suspension model of the vertical acceleration are compared. It is shown that the performance of nonlinear spring suspension is better than that of the linear passive suspension model. Because of the great advantages of the neural network in dealing with the nonlinear property, secondly, model reference neural control module is introduced in the suspension system to realize the optimization of the body vertical acceleration. Simulation results demonstrate the effectiveness of the neural network adaptive controller with application to vehicle suspension.

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

scholarly journals Neuro-Fuzzy Volume Control for Quarter Car Air-Spring Suspension System

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mohamed Essam Shalabi ◽  
Ahmed M. R. Fath Elbab ◽  
Haitham El-Hussieny ◽  
A. A. Abouelsoud
Keyword(s):  
Suspension System ◽  
Volume Control ◽  
Air Spring ◽  
Neuro Fuzzy ◽  
Spring Suspension ◽  
Quarter Car

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.

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