scholarly journals Multimode Coordination Control of a Hybrid Active Suspension

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Fa-Rong Kou ◽  
Dong-Dong Wei ◽  
Lei Tian
Keyword(s):  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Ball Screw ◽  
Damping Force ◽  
Active Mode ◽  
Damping Control ◽  
Electromagnetic Damping ◽  
Regenerative Energy ◽  
Suspension Structure

In order to effectively realize the damping control and regenerative energy recovery of vehicle suspension, a new kind of hybrid active suspension structure with the ball screw actuator and magnetorheological (MR) damper is put forward. Firstly, for the analysis of the suspension performance, a quarter dynamic model of vehicle hybrid suspension is established, and at the same time, the mathematical models of MR damper and ball screw actuator are founded. Secondly, the active mode with damping switching control of the hybrid suspension and the semiactive mode with feedback adjustment of the electromagnetic damping force of the hybrid suspension are analyzed. Then, the multimode coordinated control system of the hybrid suspension is designed. Under the cyclic driving condition, the damping performance and energy consumption characteristics of the hybrid suspension are simulated by MATLAB/Simulink software. Finally, the bench tests of the hybrid suspension system are done. The simulation and experimental results show that compared with passive suspension, the root mean square of the sprung mass acceleration of the hybrid suspension with the active mode and semiactive mode is, respectively, reduced by 39% and 16% under the random road. The damping effect of the hybrid suspension system is obvious.

scholarly journals Variable damping control strategy of a semi-active suspension based on the actuator motion state

2019 ◽  
Vol 39 (3) ◽  
pp. 787-802 ◽  
Author(s):  
Mingde Gong ◽  
Hao Chen
Keyword(s):  
Control Strategy ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Heavy Vehicles ◽  
Damping Force ◽  
Damping Control ◽  
Motion State ◽  
Variable Damping ◽  
Work First

A semi-active suspension variable damping control strategy for heavy vehicles is proposed in this work. First, a nine-degree-of-freedom model of a semi-active suspension of heavy vehicles and a stochastic road input mathematical model are established. Second, using a 1/6 vehicle as an example, a semi-active suspension system with damping that can be adjusted actively is designed using proportional relief and throttle valves. The damping dynamic characteristics of the semi-active suspension system and the time to establish the damping force are studied through a simulation. Finally, a variable damping control strategy based on an actuator motion state is proposed to adjust the damping force of the semi-active suspension system actively and therefore satisfy the vibration reduction requirements of different roads. Results show that the variable damping control suspension can substantially improve vehicle ride comfort and handling stability in comparison with a passive suspension.

scholarly journals Parametric Analysis of Magnetorheological Strut for Semiactive Suspension System Using Taguchi Method

2018 ◽  
Vol 8 (4) ◽  
pp. 3218-3222
Author(s):  
R. N. Yerrawar ◽  
R. R. Arakerimath
Keyword(s):  
Ride Comfort ◽  
Process Development ◽  
Mr Damper ◽  
Active Suspension ◽  
Performance Measure ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Tire Pressure ◽  
Damping Force ◽  
Minimum Number

Magnetorheological (MR) strut is among the leading advanced applications of semi-active suspension systems. The damping force of MR damper is controlled by varying the viscosity of MR fluid. In this work, the viscosity of MR damper varies by changing the current from 0.5A to 0.7A. The design of experiments is taken into account in concert with the product/process development as one completely advanced tool. The parameters used for ride comfort optimization are sprung mass, spring stiffness, tire pressure, current, and cylinder material with two levels of each. Taguchi orthogonal array method is used to select the best results by parameter optimization with a minimum number of test runs. In this paper, from Taguchi L16 array and S/N ratio analysis, it is observed that the cylinder material with Al and CS for damper cylinder is a key parameter for performance measure of semi-active suspension system. From regression analysis, a linear mathematical model is developed for Al and CS as cylinder materials. The interaction of cylinder materials with all four parameters is plotted. The methodology implemented for measurement of acceleration as a ride comfort is as per IS 2631-1997. The more economical model of magnetorheological damper will motivate Indian auto industry to broader applications.

Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers

2021 ◽  
pp. 095440702110044
Author(s):  
Gurubasavaraju Tharehalli mata ◽  
Vijay Mokenapalli ◽  
Hemanth Krishna
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Parametric Method ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Road Excitation

This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.

Neural Network Based Fault Tolerant Control for a Semi-Active Suspension

2019 ◽  
Author(s):  
Sergio Alberto Rueda Villanoba ◽  
Carlos Borrás Pinilla
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fault Tolerant ◽  
Mr Damper ◽  
Fault Tolerant Control ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Body ◽  
Force Model ◽  
The Neural Network

Abstract In this study a Neural Network based fault tolerant control is proposed to accommodate oil leakages in a magnetorheological suspension system based in a half car dynamic model. This model consists of vehicle body (spring mass) connected by the MR suspension system to two lateral wheels (unsprung mass). The semi-active suspension system is a four states nonlinear model; it can be written as a state space representation. The main objectives of a suspension are: Isolate the chassis from road disturbances (passenger comfort) and maintain contact between tire and road to provide better maneuverability, safety and performance. On the other hand, component faults/failures are inevitable in all practical systems, the shock absorbers of semi-active suspensions are prone to fail due to fluid leakage but quickly detect and diagnose this fault in the system, avoid major damage to the system and ensure the safety of the driver. To successfully achieve desirable control performance, it is necessary to have a damping force model which can accurately represent the highly nonlinear and hysteretic dynamic of the MR damper. To simulate parameters of the damper, a quasi-static model was applied, quasi-static approaches are based on non-newtonian yield stress fluids flow by using the Bingham MR Damper Model, relating the relative displacement of the piston, the frictional force, a damping constant, the stiffness of the elastic element of the damper and an offset force. The Fault detection and isolation module is based on residual generation algorithms. The residua r is computed as the difference between the displacement signal of functional and faulty model, when the residual is close to zero, the process is free of faults, while any change in r represents a faulty scheme then a wavelet transform, (Morlet wave function) is used to determine the natural frequencies and amplitudes of displacement and acceleration signal during the failure, this module provides parameters to the neural network controller in order to accommodate the failure using compensation forces from the remaining healthy damper. The neural network uses the error between the plant output and the neural network plant for computing the required electric current to correct the malfunction using the inverse dynamics function of the MR damper model. Consequently, a bump condition, and a random profile road (ISO 8608) described by the power spectral density (PSD) of its vertical displacement, is used as disturbance of control system. The performance of the proposed FTC structure is demonstrated trough simulation. Results shows that the control system could reduce the effect of the partial fault of the MR Damper on system performance.

Explicit model predictive control of semi-active suspension systems with magneto-rheological dampers subject to input constraints

2020 ◽  
Vol 31 (9) ◽  
pp. 1157-1170 ◽  
Author(s):  
Van Ngoc Mai ◽  
Dal-Seong Yoon ◽  
Seung-Bok Choi ◽  
Gi-Woo Kim
Keyword(s):  
Model Predictive Control ◽  
Vibration Control ◽  
Predictive Control ◽  
Active Suspension ◽  
Suspension System ◽  
Computational Time ◽  
Control Input ◽  
Control Performance ◽  
Damping Force ◽  
Magneto Rheological

This article presents vibration control of a semi-active quarter-car suspension system equipped with a magneto-rheological damper that provides the physical constraint of a damping force. In this study, model predictive control was designed to handle the constraints of control input (i.e. the limited damping force). The explicit solution of model predictive control was computed using multi-parametric programming to reduce the computational time for real-time implementation and then adopted in the semi-active suspension system. The control performance of model predictive control was compared with that of a clipped linear-quadratic optimal controller, where the damping force was bound using a standard saturation function. Two types of road conditions (bump and random excitation) were applied to the suspension system, and the vibration control performance was evaluated through both simulations and experiments.

Non-Parametric Modelling and Validation of Magnetorheological Damper for Lateral Suspension of Railway Vehicle Using Interpolated Sixth Order Polynomial

2014 ◽  
Vol 699 ◽  
pp. 283-288
Author(s):  
Mohamad Hafiz Harun ◽  
Fauzi Ahmad ◽  
Mohd Razali Md Yunos ◽  
Ahmad Kamal Mat Yamin
Keyword(s):  
Ride Comfort ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Sixth Order ◽  
Railway Vehicle ◽  
Parametric Modelling ◽  
Track Maintenance ◽  
Order Polynomial

Passenger ride comfort is an important factor in railway vehicle services. However, passenger ride comfort is sometimes affected by the vibrations resulting from the track irregularities. It will be critical when the track is exposed to prolonged sun’s heat and lack of track maintenance. This means that the optimization of passive suspension parameters alone could not cope with these cases. Semi-active suspension system for railway vehicles has been developed as a way to solve these problems. The technology of semi-active suspension is widely used especially in the railway vehicle application. Magnetorheological (MR) damper is one of the applications of the concept of semi-active suspension. However, there are a variety of criteria for MR dampers based on usage. To meet the requirements of railway vehicle suspension system, a MR damper have been developed. The criteria for the MR damper are obtained experimentally. Then, the model for the MR damper is developed using Interpolated Sixth Order Polynomial and validated by experimental. The MR damper model has shown improvement, especially in the railway vehicle dynamics performance.

Modified Sensitivity Control of a Semi-Active Suspension System with MR-Damper for Ride Comfort Improvement

2007 ◽  
Vol 31 (1) ◽  
pp. 129-138 ◽  
Author(s):  
Tae-Shik Kim ◽  
Rae-Kwan Kim ◽  
Jae-Woo Park ◽  
Chang-Do Huh ◽  
Keum-Shik Hong
Keyword(s):  
Ride Comfort ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Sensitivity Control

Implementation of a Modified Skyhook Control on a Purely Pneumatic Semi-Active Suspension System

2007 ◽  
Author(s):  
H. Porumamilla ◽  
Atul G. Kelkar ◽  
Jerald M. Vogel
Keyword(s):  
First Principles ◽  
Heat Dissipation ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Base Excitation ◽  
Single Degree Of Freedom ◽  
Pneumatic Suspension ◽  
Flow Through ◽  
Force Velocity

The paper presents implementation of a modified skyhook control on a purely pneumatic suspension system comprising of an airspring, a pressure-differential causing geometry such as a sharp edged orifice and an accumulator, which utilizes the dynamics of compressible air flow through an orifice to inject damping into the suspension rather than heat dissipation as in suspensions with oil-base damper. A continuous-skyhook logic is implemented on the hardware built as a single degree of freedom system. For a head-to-head comparison, a contemporary semi-active suspension using an MR-damper is modeled. The airspring of this suspension is modeled from first principles of Thermodynamics and a new continuously differentiable function describing the force-velocity profiles of the MR-damper is developed. An evaluation of the sprung mass acceleration shows that the performance of the pneumatic suspension rivals that of the MR based unit for an arbitrarily chosen base excitation input. The modified Skyhook law proposed for producing pneumatic damping is shown to be able to inject sufficient damping (compared to MR-Damper), thereby off-setting the need for an additional oil damper.

Influence of Spring Ratio on Variable Stiffness and Damping Suspension System Performance

2016 ◽  
Vol 836 ◽  
pp. 31-36 ◽  
Author(s):  
Unggul Wasiwitono ◽  
Agus Sigit Pramono ◽  
I. Nyoman Sutantra ◽  
Yunarko Triwinarno
Keyword(s):  
Mr Damper ◽  
Variable Stiffness ◽  
Nonlinear Damping ◽  
Suspension System ◽  
Force Characteristic ◽  
Damping Force ◽  
The Road ◽  
Power Spectral ◽  
Road Disturbance ◽  
Stiffness And Damping

The variable stiffness and damping (VSVD) suspension system offers an interesting option to improve driver comfort in an energy efficient way. The aim of this study is to analyze the influence of the spring ratio on the VSVD. The realization of the VSVD is obtained by the application of variable damping with magnetorheological (MR) damper. In this study, the nonlinear damping force characteristic of the MR damper is modeled with the Bouc-Wen model and the road disturbance is modeled by a stationary random process with road displacement power spectral density. It is shown from simulation that VSVD has a potential benefit in improving performance of vehicle suspension.

A ride quality evaluation of a semi-active railway vehicle suspension system with MR damper: Railway field tests

2016 ◽  
Vol 231 (3) ◽  
pp. 306-316 ◽  
Author(s):  
Hwan-Choong Kim ◽  
Yu-Jeong Shin ◽  
Wonhee You ◽  
Kyu Chul Jung ◽  
Jong-Seok Oh ◽  
...  
Keyword(s):  
Field Tests ◽  
Mr Damper ◽  
Suspension System ◽  
Ride Quality ◽  
Railway Vehicle ◽  
Damping Force ◽  
Magneto Rheological ◽  
Vehicle Suspension System ◽  
Design And Manufacture

This work presents experimental assessment of the improvements to the horizontal ride quality of a railway vehicle equipped with a semi-active magneto-rheological (MR) suspension system. The assessment includes the development of a mathematical model and magnetic circuit analysis of the MR damper, the design and manufacture of MR damper, and field test on the railway. After evaluating the field-dependent damping force characteristics, the conventional passive dampers of the operational railway vehicle are replaced with the MR dampers to evaluate horizontal dynamic characteristics that directly indicates the ride quality of the railway vehicle. Various sensors are installed in the vehicle and a skyhook controller with semi-active condition is implemented to produce an appropriate input current for the generation of the desired damping force. Three periods of testing are undertaken on the railway bridge at 120 km/h and the measured data of acceleration level are recoded and presented. It is demonstrated from the measured results that the vibration can be effectively controlled by the proposed semi-active MR suspension system associated with the skyhook controller. Finally, from the vibration control responses the horizontal ride quality of railway vehicle is evaluated and presented in frequency domain.

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