Simulation of Electrical Actuator and Air Spring Actuator Controlled Suspension Systems for Automotive Vehicles

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
P. Sathishkumar ◽  
J. Jancirani ◽  
D. John ◽  
B. Arun
Keyword(s):  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Vehicle Body ◽  
Air Spring ◽  
Electric Actuator ◽  
Quarter Car Model ◽  
Suspension Systems ◽  
Electrical Actuator ◽  
System Body ◽  
Three Degrees Of Freedom

This article discusses methods to reduce the acceleration of a vehicle and increase its road holding ability. In the simulation using quarter car model, electric actuator and air spring based actuator are used as the main control elements. A three degrees of freedom system model is used in which the parameters for the tire, vehicle body and seat are considered. The required actuator force is calculated by a standard fuzzy controller. For analysing the performance of active suspension system, body acceleration and velocity are given as inputs to the controller according to ISO specified standards. Accelerations of the seat and vehicle body are used to judge the performance of the system.

A novel 3-DOF translational parallel robot and its fuzzy controller design

2021 ◽  
pp. 1-14
Author(s):  
Tianxu Li ◽  
Mingde Gong ◽  
Kongming Hu ◽  
Lijuan Zhao ◽  
Baoqiang Zhao
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Screw Theory ◽  
Parallel Robot ◽  
Servo Control ◽  
Control Performance ◽  
Three Degrees Of Freedom ◽  
Better Than

In this paper, a novel three-degrees-of-freedom (3-DOF) parallel robot is designed, which can only move in three translational directions. It avoids the difficulty in the solution for forward kinematics of the parallel robot. The robot containing only lower pairs (P and R) has a simple mechanism. The characteristic that the parallel robot has only three translational degrees of freedom can be proved by the screw theory and the DOF can be got by the formula of calculating the DOF of space mechanism. The kinematics and workspace of the parallel robot is analyzed through calculation and simulation. In order to obtain better servo control performance, the PMSM fuzzy controller is designed. The analysis and simulation results show that the mechanism design of the parallel robot is reasonable, and the effect of fuzzy controller is better than the ordinary PID controller.

The Impact of Nonlinear of Tire on Multi-Axle Vehicle Steering

2011 ◽  
Vol 403-408 ◽  
pp. 3424-3429 ◽  
Author(s):  
Huan Wang ◽  
Xiu Hua Gao ◽  
Jian Kai Chen ◽  
Chao Wang
Keyword(s):  
Degrees Of Freedom ◽  
Vehicle Body ◽  
Step Response ◽  
Slip Angle ◽  
Rolling Angle ◽  
Side Slip Angle ◽  
Bp Neural Network Model ◽  
Yaw Angle ◽  
The Impact ◽  
Three Degrees Of Freedom

BP neural network model of tire and three degrees of freedom dynamic model of Multi-Axle vehicle were built. According to Zero side slip angle control theory, with the use of MATLAB software, comparative analysis of the step response of the vehicle side slip angle, yaw angle velocity and rolling angle in the driving vehicle with linear and nonlinear tires was done. The results show thatMulti-Axle vehicle with nonlinear tires has obvious affect between side slip angle and yaw angle velocity of the vehicle body. Relative to Multi-Axle vehicle with linear tires, the overshoot of step response increases greatly, and the Steady-State value does not equal to zero; but rolling angle of the vehicle with nonlinear tires has less affected.

Hybrid Skyhook-Stability Augmentation System for Ride Quality Improvement of Railway Vehicle

2014 ◽  
Vol 663 ◽  
pp. 141-145
Author(s):  
Mohd Hanif Harun ◽  
W.Mohd Zailimi Wan Abdullah ◽  
Hishamuddin Jamaluddin ◽  
Roslan Abd Rahman ◽  
Khisbullah Hudha
Keyword(s):  
Degrees Of Freedom ◽  
Active Suspension ◽  
Sine Wave ◽  
Vehicle Body ◽  
Ride Quality ◽  
Railway Vehicle ◽  
Suspension Systems ◽  
Stability Augmentation ◽  
Ride Control

This paper is aimed to show the improvement of ride quality of railway vehicle with semi-active suspension systems. The dynamics of nine degrees-of-freedom (9-DOF) railway vehicle model is developed consists of a vehicle body, two bogies and four wheel-set. The disturbance considered is track irregularity which is modelled as a sine wave. The control algorithm for the semi-active suspension system is developed based on Stability Augmentation System (SAS) integrated with skyhook controller to reduce the effect of track disturbance. The performances of passive and semi-active suspension are compared by simulation using MATLAB-SIMULINK software. The results of the study show that the proposed controller is able to significantly improve ride quality of railway vehicle body. It is also noted that the additional ride control loop which is skyhook control is able to further improve the performance of SAS controller for the system.

scholarly journals ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Manuel Braz César ◽  
Rui Carneiro Barros
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Degrees Of Freedom ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Magnetorheological Dampers ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Three Degrees Of Freedom

Abstract In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS. Fuzzy logic based controllers are capable to deal with non-linear or uncertain systems, which make them particularly well suited for civil engineering applications. The main objective is to develop a semi-active control system with a MR damper to reduce the response of a three degrees-of-freedom (DOFs) building structure. The control system is designed using ANFIS to optimize the fuzzy inference rule of a simple fuzzy logic controller. The results show that the proposed semi-active neuro-fuzzy based controller is effective in reducing the response of structural system.

scholarly journals A 3 DOF Model for an Electromagnetic Air Mount

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
HyungTae Kim ◽  
CheolHo Kim ◽  
SungBok Kang ◽  
KangWon Lee ◽  
JaeHo Baek ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Low Frequency ◽  
Full Rank ◽  
Vertical Position ◽  
Air Spring ◽  
Pneumatic Chamber ◽  
Electro Magnetic ◽  
The Individual ◽  
Three Degrees Of Freedom ◽  
Surface Plate

A matrix model with three degrees of freedom is proposed as a means for controlling microvibrations and applied to an electromagnetic isolator. The model was derived from an assumption based on small- and low-frequency vibrations. The coordinates of the 3 DOF was composed of the 4 variables, representing a vertical position, pitch, roll, and a proof term. The coordinates were calculated from the 4 position sensors in the isolator and formulated into a matrix, which possesses inversive full rank. The electro-magnetic isolator was built for a simulated machine in semiconductor manufacturing and consisted of a heavy surface plate, sensors, amps, a controller, and air springs with electromagnets. The electromagnets are installed in a pneumatic chamber of the individual air spring. The performance of the 3 DOF model was experimented and compared with that of a 1 DOF model in an impact test. The settling time in the result was reduced to 25%.

A Novel Fuzzy Controller to Improve Desired Suspension Performance

2007 ◽  
Author(s):  
Mohammad Biglarbegian ◽  
William Melek ◽  
Farid Golnaraghi
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Suspension Systems ◽  
System A ◽  
Active Suspension Systems ◽  
Vehicle Suspension System ◽  
Suspension Performance

Semi-active suspension systems allow for adjusting the vehicle shock damping and hence improved suspension performance can be achieved over passive methods. This paper presents the design of a novel fuzzy control structure to concurrently improve ride comfort and road handling of vehicles with semi-active suspension system. A full car model with seven degrees of freedom is adopted that includes the vertical, roll, and pitch motions as well as the vertical motions of each wheel. Four decentralized fuzzy controllers are developed and applied to each individual damper in the vehicle suspension system. Mamdani’s method is applied to infer the damping coefficient output from the fuzzy controller. To evaluate the performance of the proposed controller, numerical analyses were carried out on a real road bump. Moreover, results were compared with well-known and widely used controllers such as Skyhook. It is shown that the proposed fuzzy controller is capable of achieving enhanced ride comfort and road handling over other widely used control methods.

scholarly journals SIMULATING PASSIVE SUSPENSION ON AN UNEVEN TRACK SURFACE

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
FLORIN ANDRONIC ◽  
IOAN MIHAI ◽  
IOAN-COZMIN MANOLACHE-RUSU ◽  
LILIANA PĂTULEANU ◽  
IVAN RADION
Keyword(s):  
Degrees Of Freedom ◽  
Suspension System ◽  
Driving Safety ◽  
Passive Suspension ◽  
Quarter Car Model ◽  
Suspension Systems ◽  
Automobile Suspension ◽  
Passive Suspension System ◽  
Track Surface ◽  
Simulation Scheme

<p>Automobile suspension systems have an important role in a vehicle's functioning, especially with regard to driving safety. In the present paper we exhibit the equations that characterize a passive suspension system. Considering that solving the equations is extremely cumbersome we developed a simulation scheme in MATLAB Simulink. The simulation allows for an analysis of the behavior of the passive suspension system on any uneven track surface whose configuration is ensured by stimulus signals. For the simulation we used the quarter car model. The suspension was chosen as having two degrees of freedom. </p>

Comparison of Air Spring Actuator and Electro-Hydraulic Actuator in Automotive Suspension System

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
J. Jancirani ◽  
P. Sathishkumar ◽  
Manar Eltantawie ◽  
Dennie John
Keyword(s):  
Fuzzy Logic Controller ◽  
Suspension System ◽  
Vehicle Body ◽  
Hydraulic Actuator ◽  
Air Spring ◽  
Quarter Car Model ◽  
Car Suspension ◽  
Quarter Car ◽  
Automotive Suspension ◽  
Suspension Model

The present article introduces an approach that combines modelling and simulation of air spring actuator and electro-hydraulic actuator for comparison in automotive suspension system. Both hydraulic and air spring actuators are controlling the vehicle body by developing a desired force between sprung mass and unsprung mass using fuzzy logic controller. The vehicle body along with the wheel system is modelled as a two degree of freedom quarter car model. The actuator performance is investigated using the quarter car suspension model under single road bump with severe peak amplitude excitations and random road input. From the results of simulation, it can be concluded that air spring actuator gave better performance than electro-hydraulic actuator in all conditions under vertical body deflection.

The Design of Ship Dynamic Positioning Controller Based on Piecewise Control Method

2013 ◽  
Vol 823 ◽  
pp. 304-308
Author(s):  
Hong Sheng Li ◽  
Qing Miao ◽  
Rui Min Zhou
Keyword(s):  
Degrees Of Freedom ◽  
Wind Wave ◽  
Control Method ◽  
Fuzzy Controller ◽  
Dynamic Positioning ◽  
Dynamic Positioning System ◽  
Ship Steering ◽  
Static Performance ◽  
Control Accuracy ◽  
Three Degrees Of Freedom

In this paper, by establishing a mathematical model of ship dynamic positioning system, and considering the force and torque of environment disturbance such as wind, wave and flow, a piecewise controller was designed after the study of ship steering motion on three degrees of freedom, in order to improve control accuracy. The model of fuzzy controller and piecewise controller were respectively simulated using MATLAB in x axis direction. The results of simulation show that the piecewise control method improves the dynamic and static performance of the system, and the system acquires a better control performance.

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