Reduction of axis acceleration of quarter car suspension using pneumatic actuator and active force control technique

This paper presents the design of a control technique applied to the pneumatic active suspension system of a quarter car model using controller with fuzzy logic embedded in the active force control component. The overall control system is decomposed into two loops. In the main loop the desired force signal is calculated using an active force control strategy with a sugeno fuzzy logic element which is being employed to estimate the mass needed to feed the control loop. A Mamdani fuzzy logic controller is implemented in the outer loop to design a force controller such that the desired force signal is achieved in a robust manner. The resulting control strategy known as fuzzy – active force controller (FLC-AFC) is used to control a nonlinear actuator attached between the sprung mass and the unsprung mass of the quarter car model. The performances of the proposed control method were evaluated and later compared to examine the effectiveness in suppressing the vibration effect of the suspension system. Resulting fuzzy active force control gives better results if compared to the fuzzy logic and the passive suspension system

Vibrational control of air suspension system using PID controller

This paper deals with modeling and evaluation of suspension system with a pneumatic actuator controlled by Proportional Integral Derivative (PID) controller. A non-linear mathematical model of the dynamic suspension system with two degrees of freedom is developed. The controller is designed by setting proper gain values obtained by comparing three tuning methods - Ziegler Nicolas, Refined Ziegler Nicolas and Optimal control. The time response of the air suspension system is contrasted with the passive suspension system due to the road disturbance modeled as a single bump input. The proposed model limits suspension travel, minimizes passenger acceleration and keeps body displacement within bound

Multiphysics Analysis of a Magnetorheological Damper

     A Magnetorheological damping has evolved as a potential tool in vibration control. The design of magnetorheological damping involves analysis of fluid flow principles and electromagnetic flux analysis. This research paper involves design and analysis of a magnetorheological damper employed for vibration control. The analysis is carried over by considering the domain as an axisymmetric model. The damping force of the damper depends upon the shear stress due to fluid viscosity and yield stress induced due to magnetic flux applied. The damping force generated by the damper is calculated

Experimental Investigation and ANN Prediction on the Underbody Drag Minimization in Truck Model using DC Pulsed DBD Plasma Actuator as an Active Flow Control Device

Copious researches have been accomplished in the realm of automotive aerodynamics leading to the reduction of drag in cars, trucks and buses. The overwhelming results have further spearheaded the present work in emphasizing the underbody drag minimization of distribution trucks using plasma actuator as an active flow control technique. Four different types of plasma actuators also called Active Side Skirt were experimentally evaluated on the scale down model of truck in a subsonic wind tunnel along with five different voltages ranging from 12 kV to 28 kV. The plasma actuator was positioned on the sides of the truck vertically as four individual units covering the front tyres and rear tyres. The results exhibit that the plasma actuator with a larger insulated electrode and with an electrode overlap distance had a good drag reduction rate of 8% at higher velocity (28 kV).The plasma generated by the Active Side Skirt induces an ionic wind along the stream wise direction keeping the flow attached throughout thereby helping in a reduced drag. An artificial neural network was developed using the data from the experimental analysis with Voltage, Velocity, Top width, Bottom width and Overlap distance as input parameter for training the network, further coefficient of drag taken as output parameter. A total of two hidden layers and seven neurons was used for the prediction. The test data that was not used for training, correlated with the ANN predicted value furthermore with the experimental values

Mathematical modelling and simulation quarter car vehicle suspension

Abstract-This paper is mainly discussing about the mathematical modelling and simulation study of two degree of freedom quarter car model. The state space mathematical model is derived using Newton's second law of motion and free body diagram concept and the vehicle body along with the wheel system is modelled as a two degree of freedom quarter car model. The performance of the system will be determined by computer simulation using MATLAB/SIMULINK. Passive, semi-active and active suspension systems connected in a single loop and tested under step and single bump input