Your Selections

Metered, H.
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Events

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration control of semi-active vehicle suspension system incorporating MR damper using fuzzy self-tuning PID approach

Helwan University-Ahmed Shehata Gad, W. Oraby, H. Metered
  • Technical Paper
  • 2020-01-1082
To be published on 2020-04-14 by SAE International in United States
In this paper, a nonlinear semi-active vehicle suspension system using MR fluid dampers is investigated to enhance ride comfort and vehicle stability. Fuzzy logic and fuzzy self-tuning PID control techniques are applied as system controllers to compute desired front and rear damping forces in conjunction with a Signum function method damper controller to assess force track-ability of system controllers. The suggested fuzzy self-tuning PID operates fuzzy system as a PID gains tuner to mitigate the vehicle vibration levels and achieve excellent performance related to ride comfort and vehicle stability. The equations of motion of four-degrees-of-freedom semi-active half-vehicle suspension system incorporating MR dampers are derived and simulated using Matlab/Simulink software. Control performance criteria including bounce and pitch motions are evaluated in both time and frequency domains in order to quantify the effectiveness of proposed system controllers under bump and random road disturbances. Fuzzy self-tuning PID controller gives a better force tracking than fuzzy logic. The performance of both controlled semi-active suspension systems using MR dampers is compared with MR passive and conventional passive to show the…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Minimizing Power Consumption of Fully Active Vehicle Suspension System Using Combined Multi-Objective Particle Swarm Optimization

Helwan University-Ahmed Elsawaf, H. Metered, A. Abdelhamid
Published 2019-07-16 by SAE International in United States
This paper introduces an optimum design for a feedback controller of a fully active vehicle suspension system using the combined multi-objective particle swarm optimization (CMOPSO) in order to minimize the actuator power consumption while enhancing the ride comfort. The proposed CMOPSO algorithm aims to minimize both the vertical body acceleration and the actuator power consumption by searching about the optimum feedback controller gains. A mathematical model and the equations of motion of the quarter-car active suspension system are considered and simulated using Matlab/Simulink software. The proposed active suspension is compared with both active suspension system controlled using the linear quadratic regulator (LQR) and the passive suspension systems. Suspension performance is evaluated in time and frequency domains to verify the success of the proposed control technique. The simulated results reveal that the proposed controller using CMOPSO grants a significant enhancement of ride comfort and road holding, and reduction of actuator power consumption.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration Control of an Active Seat Suspension System Integrated Pregnant Woman Body Model

6 th of October Univ. and Helwan University-AM Abdel-Ghany
Helwan University-H. Metered, A. M Bassiuny
Published 2019-04-02 by SAE International in United States
Proportional-integral-derivative (PID) controller is effective, popular and cost effective for a lot of scientific and engineering applications. In this paper, PID and fuzzy-self-tuning PID (FSTPID) controllers are applied to improve the performance of an active seat suspension system to enhance the pregnant woman comfort. The equations of motion of thirteen-degrees-of-freedom (13-DOF) active seat suspension system incorporating pregnant woman body model are derived and simulated. PID gains are tuned and estimated using genetic algorithm (GA) to formulate GA PID controller. In FSTPID, fuzzy logic technique is used to tune PID controller gains by selecting appropriate fuzzy rules using Matlab/Simulink software. Both controlled active seat suspension systems are compared with a passive seat suspension. Suspension performance is evaluated under bump and random road excitations in order to verify the success of the proposed controllers. Theoretical results reveal that the proposed controllers using GA PID and FSTPID grant a significant enhancement of the pregnant woman comfort and her fetus.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration Control of Active Vehicle Suspension System Using Optimized Fuzzy-PID

Helwan University-H. El-taweel, Mohamed M. Abd elhafiz, H. Metered
Published 2018-04-03 by SAE International in United States
In this paper, a fuzzy-PID controller is applied in a half vehicle active suspension system to enhance vibration levels of vehicle chassis and passenger seat. The fuzzy-PID controller consists of fuzzy and PID connecting in a series manner, the fuzzy output is considered as the PID input. Genetic Algorithm (GA) is selected to tune controller parameters to obtain optimal values that minimize the objective function. The equations of motion of five-degrees-of-freedom active half-vehicle suspension system are derived and simulated using Matlab/Simulink software. Double bumps and random road excitations are used to study the performance of suspension systems including bounce and pitch motion. The performance of the active suspension system using optimized fuzzy-PID controller is compared with conventional passive to show the efficiency of the proposed active suspension system. The simulation results prove that the active suspension system controlled using the optimized fuzzy-PID controller can offer significant improvements of ride comfort and vehicle stability.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Optimized Proportional Integral Derivative Controller of Vehicle Active Suspension System Using Genetic Algorithm

Arab Academy for Science, Technology & Maritime Transport-W. Abbas
Helwan University-H. Metered, A. S. Emam
Published 2018-04-03 by SAE International in United States
Proportional integral derivative (PID) control method is an effective, easy in implementation and famous control technique applied in several engineering systems. Also, Genetic Algorithm (GA) is a suitable approach for optimum searching problems in science, industrial and engineering applications. This paper presents the usage of GA for determining the optimal PID controller gains and their implementation in the active quarter-vehicle suspension system to achieve good ride comfort and vehicle stability levels. The GA is applied to solve a combined multi-objective (CMO) problem to tune PID controller gains of vehicle active suspension system for the first time. The active vehicle suspension system is modeled mathematically as a two degree-of-freedom mechanical system and simulated using Matlab/Simulink software. The performance of the proposed suspension system controlled using the optimized PID GA is compared to both controlled system using the classical PID (C PID) controller and the passive suspension systems. Systems performance criteria are evaluated in both time and frequency domains, in order to quantify the success of the proposed suspension system. The theoretical results reveal that the proposed…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Performance Evaluation of Magnetorheological Limited Slip Differential for Automotive Applications

Helwan University-Mohamed M. Abd elhafiz, H. Metered
Published 2018-04-03 by SAE International in United States
The present work investigates the effect of magnetorheological fluid (MRF) on limited slip differential (LSD) system for automotive applications to improve torque distribution which influences traction and maneuverability. The proposed differential system uses a magnetorheological fluid which permits to control the locking torque effectively and then improve the vehicle traction characteristics. To evaluate the proposed system, a prototype model involves some rotating clutches submerged in MRF associated with an electromagnet coil was built. Experimental tests were carried out in two cases, first case by applying mechanical force on the friction clutches and the second by applying magnetic field to change the MRF viscosity. The yield stress of MRF depends on the magnetic field applied by the electromagnet by varying electric current. The controllable yield stress generates friction force on the rotating clutches surfaces to transmit torque. The transmitted torque was measured to evaluate the advantages of MRF in classic LSD. The results reveal that proposed MR-LSD can improve automotive traction.
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration Mitigation of Structural Suspension Using Active Mount

Czech Tech. Univ Prague and Helwan Univ.-A. Elsawaf, H. Metered
Czech Technical University Prague-T. Vampola, Z. Sika
Published 2015-06-15 by SAE International in United States
Active vibration control is the most effective method used for suppressing vibrations from external sources. This paper presents the particle swarm optimization (PSO) algorithm to search about the optimum feedback controller gains for the active mount suspension, for the first time, to reduce the vibrations level of a structural system. It consists of vibrating mass and flexible beam subjected to an external disturbance. A mathematical model and the equations of motion of the structure system with an active mount suspension are simulated using Matlab/Simulink software. The active controller was designed to control the first three modes of the structure. The proposed PSO algorithm aims to minimize the acceleration of the suspended mass as the objective function with constraint of the actuator force. Vibrations level is examined theoretically in order to assess the effectiveness of the proposed controller. The simulation results reveal that the proposed feedback controller gains tuned by PSO algorithm offer a significant improvement of the vibrations isolation compared with both the passive system and the active system controlled using the linear-quadratic-regulator (LQR).
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Vibration Control of MR-Damped Vehicle Suspension System Using PID Controller Tuned by Particle Swarm Optimization

SAE International Journal of Passenger Cars - Mechanical Systems

Czech Tech. Univ Prague and Helwan Univ.-H. Metered, A. Elsawaf
Czech Technical University-T. Vampola, Z. Sika
  • Journal Article
  • 2015-01-0622
Published 2015-04-14 by SAE International in United States
Proportional integral derivative (PID) control technique is the most common control algorithm applied in various engineering applications. Also, particle swarm optimization (PSO) is extensively applied in various optimization problems. This paper introduces an investigation into the use of a PSO algorithm to tune the PID controller for a semi-active vehicle suspension system incorporating magnetorheological (MR) damper to improve the ride comfort and vehicle stability. The proposed suspension system consists of a system controller that determine the desired damping force using a PID controller tuned using PSO, and a continuous state damper controller that estimate the command voltage that is required to track the desired damping force. The PSO technique is applied to solve the nonlinear optimization problem to find the PID controller gains by identifying the optimal problem solution through cooperation and competition among the individuals of a swarm. A mathematical model of a two degree-of-freedom MR-damped vehicle suspension system is derived and simulated using Matlab/Simulink software. The proposed PSO PID controlled suspension is compared to both the conventional PID controller and the passive suspension…
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Testing, Modelling and Analysis of a Linear Magnetorheological Fluid Damper under Sinusoidal Conditions

Helwan Univ-H. Metered, S. Mostafa, S. El-Demerdash, N. Hammad, M. El-Nashar
Published 2013-04-08 by SAE International in United States
Magnetorheological (MR) fluid dampers are the most promising devices for practical vibration control applications because they have many advantages such as mechanical simplicity, high dynamic range, low power requirements, large force capacity and robustness.This paper aims to study the dynamical behavior of a linear MR fluid damper through experiments. Also, an efficient and simple model is developed to identify the damping force as a function of the damper velocity, acceleration and applied voltage to the magnetic coil, without using any complicated mathematical or differential equations, which will be very useful for large and complicated applications. The identified parameters of the MR damper are obtained using trial-and-error methodology. The validation is done using the dynamical behaviour of MR damper for both experimentation and simulation, by solving the modified Bouc-Wen (M B-W) model that can predict the dynamical behavior of MR dampers accurately. In the experimental stage, the data are generated through dynamic tests with the damper mounted on a tensile testing machine. Validation data sets representing a wide range of working conditions of the damper, under…
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Application of Nonparametric Magnetorheological Damper Model in Vehicle Semi-active Suspension System

SAE International Journal of Passenger Cars - Mechanical Systems

Helwan University-H. Metered
  • Journal Article
  • 2012-01-0977
Published 2012-04-16 by SAE International in United States
Nonparametric models do not require any assumptions on the underlying input/output relationship of the system being modeled so that they are highly useful for studying and modeling the nonlinear behaviour of Magnetorheological (MR) fluid dampers. However, the application of these models in semi-active suspension is very rare and most theoretical works available on this topic address the application of parametric models (e.g. Modified Bouc-Wen model).In this paper, a nonparametric MR damper model based on the Restoring Force Surface technique is applied in vehicle semi-active suspension system. It consists of a three dimensional interpolation using Chebyshev orthogonal polynomial functions to simulate the MR damper force as a function of the displacement, velocity and input voltage. Also, a damper controller based on a Signum function method is proposed, for the first time, for use in conjunction with the system controller of a semi-active vehicle suspension. A mathematical model of a semi-active quarter-vehicle suspension using an MR damper is derived. Suspension performance criteria are evaluated in the time and frequency domains in order to quantify the suspension effectiveness…
Annotation ability available