Simulation and comparison of quarter-car passive suspension system with Bingham and Bouc-Wen MR semi-active suspension models

2013 ◽  
Author(s):  
A. Perescu ◽  
L. Bereteu
Keyword(s):  
Active Suspension ◽  
Suspension System ◽  
Passive Suspension ◽  
Passive Suspension System ◽  
Quarter Car ◽  
Suspension Models

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.

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.

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. 

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.

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.

The Effect of Delayed Feedback Control on Lateral Semi-Active Suspension System for High-Speed Train

2013 ◽  
Vol 753-755 ◽  
pp. 1795-1799 ◽  
Author(s):  
Xiao Wei Huang ◽  
Yan Ying Zhao
Keyword(s):  
Time Delay ◽  
Feedback Control ◽  
High Speed ◽  
Active Suspension ◽  
Suspension System ◽  
Delayed Feedback Control ◽  
Lateral Vibration ◽  
High Speed Train ◽  
Passive Suspension ◽  
Passive Suspension System

In order to suppress the lateral vibration of high-speed train caused by track irregularity, the delayed feedback control is employed to suppress the vibration of the semi-active suspension system. The 1/4 vehicle mathematical model of semi-active suspension system is established. The amplitude of the bodys lateral vibration is large at some values of external excitation frequency for the passive suspension system, and it could be suppressed at some values of time delay, while the vibration of the bodys lateral vibration may be deteriorated at other values of time delay. The results show that the amplitude of the bodys lateral vibration could be suppressed about 50% when the suitable values of damping coefficient and time delay are chosen by comparing with the passive suspension system. The analytical results of this paper are in good agreement with the numerical simulation.

scholarly journals Comparative Study between Type I and Type II Fuzzy Controller for Semi Active Suspension System

CONVERTER ◽  
2021 ◽  
pp. 742-749
Author(s):  
H. Lammari, Et al.
Keyword(s):  
Fuzzy Controller ◽  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Control Signal ◽  
Damping Coefficient ◽  
Type I ◽  
Inference System ◽  
Passive Suspension ◽  
Passive Suspension System

In this article, a type-2 fuzzy interval controller is proposed to solve the nonlinear control problems of semi-active suspension system. A suspension model with two degrees of freedom and A fuzzy approach for controller synthesis were proposed. The performance of the IT2FLC-based semi-active vehicle suspension system in terms of sprung mass displacement, suspension deflection and tire deflection are compared to the homologous fuzzy type-1 controller (T1FLC), and to the passive suspension system conventional using MATLAB / SIMULINK software for simulation and controller design. The vehicle parameters, called suspension deflection and speed of suspended mass are given as inputs for both controllers. The Csemi control signal is the variable damping coefficient. Inputs and outputs are presented by triangular membership functions. Mamdani inference system is used, along with a Karnik-Mendel algorithm to locate the center of gravity in reduction type for IT2FLC controller. Simulation results show that IT2FLC-based semi-active suspension system outperforms T1FLC and passive suspension system. Thus, they show a major improvement in control signal i.e. IT2FLC controller generates a lower damping coefficient than T1FLC controller. In addition, a remarkable reduction in signal energy by IT2FLC compared to same semi-active suspension system with T1FLC.

scholarly journals Improving the Comfort of the Vehicle Based on Using the Active Suspension System Controlled by the Double-Integrated Controller

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tuan Anh Nguyen
Keyword(s):  
Control Method ◽  
Integrated Control ◽  
Active Suspension ◽  
Suspension System ◽  
Control Methods ◽  
Passive Suspension ◽  
Positive Effects ◽  
Advantages And Disadvantages ◽  
Passive Suspension System ◽  
Integrated Controller

When the vehicle moves on the road, many external factors affect the vehicle. These effects can cause oscillation and instability for the vehicle. The oscillation of the vehicle directly affects the safety and comfort of passengers. The suspension system is used to control and extinguish these oscillations. However, the conventional passive suspension system is unable to fully meet the vehicle’s requirements for stability and comfort. To improve these problems, these are much modern suspension system models that have been used in the vehicle to replace the passive suspension system. The modern suspension systems are used as the air suspension system, semiactive suspension system, and active suspension system. These systems which are controlled automatically by the controller were established based on the control methods. There are a lot of control methods which are used to control the operation of the active suspension system. These methods have their advantages and disadvantages. Almost, conventional control methods such as PID, LQR, or SMC are commonly used. However, they do not provide optimal efficiency in improving a vehicle’s oscillation. Therefore, it is necessary to establish a novel solution for the active suspension system control to improve the vehicle’s oscillation. In this paper, the method of using the double-integrated controller is proposed to solve the above problem. The double-integrated controller consists of two hydraulic actuators which are controlled completely separately. This is a completely novel and original method that can provide positive effects. This research focuses on establishing, simulating, and evaluating the novel control method (the double-integrated control) for the active suspension system. The results of the research have shown that when the vehicle is equipped with the active suspension system which is controlled by the double-integrated controller, the maximum values of displacement and acceleration of the sprung mass are significantly reduced. They reach only 6.25% and 9.10% (case 1) and 6.00% and 6.12% (case 2) compared to the conventional passive suspension system. Besides, its average values which are calculated by RMS are only about 3.91% and 4.67% (case 1) and 4.48% and 4.77% (case 2) compared to the above case. Therefore, the comfort and stability of the vehicle have been improved. This paper provides new concepts and knowledge about the double-integrated control method which will become the trend to be used in the next time for the systems of the vehicle. In the future, experimental procedures also need to be conducted to be able to more accurately evaluate the results of this research.

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