scholarly journals State Observer Designs for Quarter-car Passive Suspension

2020 ◽  
Vol 9 (3) ◽  
pp. 1-12
Author(s):  
Tasya Y. Christnantasari
Keyword(s):  
State Observer ◽  
Passive Suspension ◽  
Quarter Car

Passive Suspension Optimization Using Teaching Learning Based Optimization and Genetic Algorithm Considering Variable Speed Over a Bump

2014 ◽  
Author(s):  
Bhargav Gadhvi ◽  
Vimal Savsani
Keyword(s):  
Genetic Algorithm ◽  
Ride Comfort ◽  
Optimization Techniques ◽  
Passive Suspension ◽  
The Road ◽  
Quarter Car Model ◽  
Teaching Learning Based Optimization ◽  
Quarter Car ◽  
Vehicle Suspension System ◽  
Teaching Learning

The main objectives of a vehicle suspension system are to isolate the road excitations to reach the sprung mass of the vehicle and proper road holding. This paper proposes a solution to optimize a quarter car linear passive suspension parameters while passing over a bump with variable speeds to improve the ride comfort and road holding. The Teaching-learning based optimization algorithm (TLBO) is used to solve the problem and results are compared to those obtained by Genetic algorithm (GA) technique. The quarter car model presented is simulated in time domain subjected to a Cosine speed bump considering the variable speeds of the vehicle over it. Results show sprung mass acceleration, and tire displacement are reduced by 26.03%, and 23.7% respectively by using TLBO and 22.3%, and 18.52% respectively by using GA, conforming the capabilities of the optimization techniques.

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.

scholarly journals AN INTRODUCTION TO SISTEM IDENTIFICATION FOR A QUARTER CAR PASSIVE SUSPENSION

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Endang Susanti
Keyword(s):  
Mathematical Model ◽  
System Identification ◽  
Automatic Control ◽  
Rapid Development ◽  
Science And Technology ◽  
Marine Ecology ◽  
Passive Suspension ◽  
The Status ◽  
Identification Technique ◽  
Quarter Car

At present, as a method of establishing mathematical model of the system, the system identification has been widely applied to the automatic control, aviation, spaceflight, astronomy, medicine, biology, marine ecology and society, economics and many other fields. With the rapid development of science and technology, the status of system identification technique in various disciplines is becoming increasingly important. This paper introduces an system identification used for a quarter car passive suspension and a review previous research.

H∞ Control of Active Suspension System for a Quarter Car Model

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
N.M. Ghazaly ◽  
A.S Ahmed ◽  
A.S Ali ◽  
G.T Abd El- Jaber
Keyword(s):  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Passive Suspension ◽  
Quarter Car Model ◽  
Suspension Systems ◽  
Car Model ◽  
Active Suspension Systems ◽  
Passive Suspension System ◽  
Quarter Car

In recent years, the use of active control mechanisms in active suspension systems has attracted considerable attention. The main objective of this research is to develop a mathematical model of an active suspension system that is subjected to excitation from different road profiles and control it using H∞ technique for a quarter car model to improve the ride comfort and road handling. Comparison between passive and active suspension systems is performed using step, sinusoidal and random road profiles. The performance of the H∞ controller is compared with the passive suspension system. It is found that the car body acceleration, suspension deflection and tyre deflection using active suspension system with H∞ technique is better than the passive suspension system.

Neuro Model Approach for a Quarter Car Passive Suspension Systems

2015 ◽  
Vol 775 ◽  
pp. 103-109
Author(s):  
Dirman Hanafi ◽  
Mohamad Fauzi Zakaria ◽  
Rosli Omar ◽  
M. Nor M. Than ◽  
M. Fua'ad Rahmat ◽  
...  
Keyword(s):  
Nonlinear Model ◽  
Suspension System ◽  
Model Structure ◽  
Spring Stiffness ◽  
Passive Suspension ◽  
The Road ◽  
Nonlinear Properties ◽  
Car Suspension ◽  
Suspension Dynamics ◽  
Quarter Car

The road handling, load carrying and passenger comfort are three intension factors on car suspension’s system. They should be compromised to achieve the good the car suspension dynamics. To fulfill the requirement, the car suspension system must be controlled and analyzed. To design and analyze the suspension controller, the realistic dynamics model of car suspension is needed. In this paper, the car suspension is assumed as a quarter car and has a model structure as a neural network structure. The model is assumed consist of nonlinear properties that are contributed by spring stiffness and damping elements of suspension system. The tire is assumed has linear properties and represented by spring stiffness element and damping element. The model responses are generated in simulation term. The random type of artificial road surface signal as an input variable is used in this simulation. The results show that the trend of neuro model have the same with the response of a quarter car nonlinear model from dynamic derivation. It means that the developed neuro model structure capable to represent the nonlinear model of a quarter car passive suspension system dynamics.

scholarly journals Optimal Control Design of Active Suspension System Based on Quarter Car Model

2019 ◽  
Vol 11 (2) ◽  
pp. 55
Author(s):  
Nur Uddin
Keyword(s):  
Optimal Control ◽  
Ride Comfort ◽  
Control Design ◽  
Active Suspension ◽  
Suspension System ◽  
Passive Suspension ◽  
Quarter Car Model ◽  
Car Model ◽  
Passive Suspension System ◽  
Quarter Car

The optimal control design of the ground-vehicle active suspension system is presented. The active suspension system is to improve the vehicle ride comfort by isolating vibrations induced by the road profile and vehicle velocity. The vehicle suspension system is approached by a quarter car model. Dynamic equations of the system are derived by applying Newton’s second law. The control law of the active suspension system is designed using linear quadratic regulator (LQR) method. Performance evaluation is done by benchmarking the active suspension system to a passive suspension system. Both suspension systems are simulated in computer. The simulation results show that the active suspension system significantly improves the vehicle ride comfort of the passive suspension system by reducing 50.37% RMS of vertical displacement, 45.29% RMS of vertical velocity, and 1.77% RMS of vertical acceleration.

scholarly journals Dynamic Analysis of an Optimal Active Suspension System Using Global Search Optimization

2018 ◽  
Vol 7 (3.17) ◽  
pp. 43
Author(s):  
Muna Khalil Shehan ◽  
B B. Sahari ◽  
Nawal Aswan B. Abdul Jalil ◽  
Tang Sai Hong ◽  
Azizan B. As'arry
Keyword(s):  
Ride Comfort ◽  
Active Suspension ◽  
Global Search ◽  
Suspension System ◽  
Index Formula ◽  
Passive Suspension ◽  
Active Elements ◽  
Search Optimization ◽  
Passive Suspension System ◽  
Quarter Car

This paper addresses ride comfort for quarter car active suspension system. Suspension dynamics are modelled by using two degree of freedom vibrating system, linear with time invariant quarter car model to capture the system dynamics when it is subjected to the road disturbance with different velocities. Global search optimization method is a strategy that overcomes the defects of the suspension system performance index formula, objective function (discontinuity, non-smooth) is used to find the optimal suspension spring stiffness and damping coefficient. The optimal active suspension system design is tested when the active elements is malfunctioned. The optimal design is compared with optimal passive suspension system in terms of ride comfort. The results showed that the optimal passive elements of optimal active suspension system provided better ride comfort ( ) even at the absent of the active elements compared to optimal passive suspension system. 

Development of Passive Quarter Car Suspension Prototype

2015 ◽  
Vol 761 ◽  
pp. 238-244
Author(s):  
Che Amran Aliza ◽  
Fen Ying Chin ◽  
Mariam Md Ghazaly ◽  
Shin Horng Chong ◽  
Vasanthan Sakthivelu
Keyword(s):  
Pulse Width ◽  
Suspension System ◽  
Vehicle Body ◽  
Laboratory Equipment ◽  
Passive Suspension ◽  
Quarter Car Model ◽  
Car Model ◽  
Input Pressure ◽  
Passive Suspension System ◽  
Quarter Car

In this paper, a construction of a prototype to represent passive vehicle suspension system for quarter car model is considered. The prototype is represented by two degree-of freedom quarter-car model which are conventionally used by researchers. This laboratory equipment is developed in order to familiarize students with 2 DoF passive suspension system model. It consists of two masses, two springs and a damper. This equipment is easily dismantled and could be assembled with different spring and damper constants which contribute to different characteristics of the suspension system. A number of experiments have been carried out using the experiment setup in order to identify the suspension system characteristics i.e. experiments with different vehicle body mass, different period for one pulse and different pulse width of input pressure of the road excitation have been conducted. The experiment results are evaluated based on the vehicle body displacement and tire displacement of the prototype. Experiment results show that the pulse width of the input pressure or road profile is directly affected the characteristic of this passive suspension system. Lastly, simulations were done in order to compare the simulation and experimental results.

Simulation of Quarter-Car Model with Magnetorheological Dampers for Ride Quality Improvement

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Sunil Kumar Sharma ◽  
Rakesh Chandmal Sharma
Keyword(s):  
Degrees Of Freedom ◽  
Active Suspension ◽  
Suspension System ◽  
Ride Quality ◽  
Bingham Model ◽  
Passive Suspension ◽  
Quarter Car Model ◽  
Car Model ◽  
Passive Suspension System ◽  
Quarter Car

A semi-active suspension system using Magnetorheological (MR) damper overcomes all the inherent limits of passive and active suspension systems and combines the advantages of both. This paper gives a concise introduction to the suspension system of a passenger vehicle which is presented along with the analysis of semi-active suspension system using MR fluid dampers based on Bingham model. MR dampers are filled with MR fluids whose properties can be controlled by applying voltage signal. To further prove the statement, a quarter car model with two degrees of freedom has been used for modeling the suspension system the sprung mass acceleration of passive suspension system has been compared with the semi-active suspension system using the Bingham model for MRF damper. Simulink/MATLAB is used to carry out the simulation. The results drawn show that the semi-active suspension system performed better than the passive suspension system in terms of vehicle stability.

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