Novel Motion-Doubling Linkage Mechanisms for Vehicle Suspension: Performance Simulation Results

2007 ◽  
Author(s):  
Jahangir Rastegar ◽  
Dake Feng
Keyword(s):  
Suspension System ◽  
Superior Performance ◽  
Vehicle Suspension ◽  
Performance Simulation ◽  
New Class ◽  
Suspension Systems ◽  
Full Rotation ◽  
Rocking Motion ◽  
Vehicle Suspension System ◽  
Suspension Performance

In recent studies, a new class of planar and spatial linkage mechanisms was presented in which for a continuous full rotation or continuous rocking motion of the input link, the output link undergoes two continuous rocking motions. Such linkage mechanisms were referred to as the “motion-doubling” linkage mechanisms. This class of mechanisms was also shown to generally have dynamics advantage over regular mechanisms designed to achieve similar gross output motions. In a recent study, the application of such motion-doubling linkage mechanisms to vehicle suspension system was investigated. In the present study, the performance of a vehicle using such a suspension system is compared to a suspension system regularly used in vehicles. For a typical set of vehicle and tire parameters, the parameters of both suspension systems are optimally determined with a commonly used objective function. The performance of the two systems in the presence of various input disturbances is then determined using computer simulation. It is shown that suspension systems constructed with motion-doubling linkage mechanisms can provide a significantly superior performance as compared to a commonly used suspension system.

Enhancement of the Vehicle Suspension Performance Using Motion-Doubling Linkage Mechanisms

2006 ◽  
Author(s):  
Jahangir Rastegar ◽  
Kavous Jorabchi ◽  
Hee J. Park
Keyword(s):  
Suspension System ◽  
Vehicle Suspension ◽  
Vertical Acceleration ◽  
Linkage Mechanism ◽  
New Class ◽  
Suspension Systems ◽  
Full Rotation ◽  
Rocking Motion ◽  
Vehicle Suspension System ◽  
Suspension Performance

In recent studies, a new class of planar and spatial linkage mechanisms was presented in which for a continuous full rotation or continuous rocking motion of the input link, the output link undergoes two continuous rocking motions. Such linkage mechanisms were referred to as the “motion-doubling” linkage mechanisms. This class of mechanisms was also shown to generally have dynamics advantage over regular mechanisms designed to achieve similar gross output motions. In the present study, the use of the motion-doubling linkage mechanisms in the construction of vehicle suspension systems is investigated. The performance of the resulting vehicle suspension system is compared to that of a suspension system regularly used in vehicles. For a typical set of vehicle and tire parameters, the parameters of both suspension systems are optimally determined with a commonly used objective function, which is defined as the standard deviation of the vertical acceleration of the vehicle. Using numerical simulation, it is shown that the suspension system constructed with a motion-doubling linkage mechanism has a significantly better performance as compared to a standard suspension system.

scholarly journals Performance Comparison of Various controllers on Semi-Active Vehicle Suspension System

2021 ◽  
Vol 40 ◽  
pp. 01001
Author(s):  
Sarvesh Walavalkar ◽  
Viraj Tandel ◽  
Rahul Sunil Thakur ◽  
V.V Pramod Kumar ◽  
Supriya Bhuran
Keyword(s):  
Active Suspension ◽  
Suspension System ◽  
Internal Model Control ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Inference System ◽  
Proportional Integral ◽  
Suspension Systems ◽  
Model Control ◽  
Vehicle Suspension System

The value of a self-tuning adaptive semi-active control scheme for automotive suspension systems is discussed in this paper. The current vehicle suspension system uses fixed-coeffcient springs and dampers. The ability of vehicle suspension systems to provide good road handling and improve passenger comfort is usually valued. Passive suspension allows you to choose between these two options. Semi-Active suspension(SAS), on the other hand, can provide both road handling and comfort by manipulating the suspension force actuators directly. The semi-active suspension system for a quarter car model is compared to passive and various controllers such as Proportional-Integral, Proportional-Integral-Derivative, Internal model control (IMC)-PID, IMC-PID with filter, FUZZY, and Adaptive-network-based fuzzy inference system(ANFIS) in this analysis. This research could be relevant in the future for designing better car suspension adjustments to eliminate vertical jerks and rolling motion experienced by the vehicle body on bumps and humps.

Influence of Vehicle Suspension System on Ride Comfort

2011 ◽  
Vol 141 ◽  
pp. 319-322
Author(s):  
Jun Zhong Xia ◽  
Zong Po Ma ◽  
Shu Min Li ◽  
Xiang Bi An
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Vehicle Model ◽  
Active Suspensions ◽  
Suspension Systems ◽  
Non Linear ◽  
Vehicle Suspension System

This paper focuses on the influence of various vehicle suspension systems on ride comfort. A vehicle model with eight degrees of freedom is introduced. With this model, various types of non-linear suspensions such as active and semi-active suspensions are investigated. From this investigation, we draw the conclusion that the active and semi-active suspensions models are beneficial for ride comfort.

scholarly journals Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system

2011 ◽  
Vol 21 (1) ◽  
pp. 137-147 ◽  
Author(s):  
Jimoh Pedro ◽  
Olurotimi Dahunsi
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Feedback Linearization ◽  
Suspension System ◽  
Superior Performance ◽  
Vehicle Suspension ◽  
Input Output ◽  
Road Disturbance ◽  
Feedback Linearization Control ◽  
Vehicle Suspension System

Neural network based feedback linearization control of a servo-hydraulic vehicle suspension systemThis paper presents the design of a neural network based feedback linearization (NNFBL) controller for a two degree-of-freedom (DOF), quarter-car, servo-hydraulic vehicle suspension system. The main objective of the direct adaptive NNFBL controller is to improve the system's ride comfort and handling quality. A feedforward, multi-layer perceptron (MLP) neural network (NN) model that is well suited for control by discrete input-output linearization (NNIOL) is developed using input-output data sets obtained from mathematical model simulation. The NN model is trained using the Levenberg-Marquardt optimization algorithm. The proposed controller is compared with a constant-gain PID controller (based on the Ziegler-Nichols tuning method) during suspension travel setpoint tracking in the presence of deterministic road disturbance. Simulation results demonstrate the superior performance of the proposed direct adaptive NNFBL controller over the generic PID controller in rejecting the deterministic road disturbance. This superior performance is achieved at a much lower control cost within the stipulated constraints.

scholarly journals Differential Evolution-Based PID Control of Nonlinear Full-Car Electrohydraulic Suspensions

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Jimoh O. Pedro ◽  
Muhammed Dangor ◽  
Olurotimi A. Dahunsi ◽  
M. Montaz Ali
Keyword(s):  
Differential Evolution ◽  
Pid Control ◽  
Force Feedback ◽  
Ride Comfort ◽  
Controller Design ◽  
Suspension System ◽  
Superior Performance ◽  
Vehicle Suspension ◽  
Pid Controller Design ◽  
Vehicle Suspension System

This paper presents a differential-evolution- (DE-) optimized, independent multiloop proportional-integral-derivative (PID) controller design for full-car nonlinear, electrohydraulic suspension systems. The multiloop PID control stabilises the actuator via force feedback and also improves the system performance. Controller gains are computed using manual tuning and through DE optimization to minimise a performance index, which addresses suspension travel, road holding, vehicle handling, ride comfort, and power consumption constraints. Simulation results showed superior performance of the DE-optimized PID-controlled active vehicle suspension system (AVSS) over the manually tuned PID-controlled AVSS and the passive vehicle suspension system (PVSS).

scholarly journals Optimal control and parameters design for the fractional-order vehicle suspension system

2018 ◽  
Vol 37 (3) ◽  
pp. 456-467 ◽  
Author(s):  
Hao You ◽  
Yongjun Shen ◽  
Haijun Xing ◽  
Shaopu Yang
Keyword(s):  
Optimal Control ◽  
Fractional Order ◽  
Suspension System ◽  
Least Square ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Vertical Acceleration ◽  
Control Force ◽  
Suspension Systems ◽  
Vehicle Suspension System

In this paper the optimal control and parameters design of fractional-order vehicle suspension system are researched, where the system is described by fractional-order differential equation. The linear quadratic optimal state regulator is designed based on optimal control theory, which is applied to get the optimal control force of the active fractional-order suspension system. A stiffness-damping system is added to the passive fractional-order suspension system. Based on the criteria, i.e. the force arising from the accessional stiffness-damping system should be as close as possible to the optimal control force of the active fractional-order suspension system, the parameters of the optimized passive fractional-order suspension system are obtained by least square algorithm. An Oustaloup filter algorithm is adopted to simulate the fractional-order derivatives. Then, the simulation models of the three kinds of fractional-order suspension systems are developed respectively. The simulation results indicate that the active and optimized passive fractional-order suspension systems both reduce the value of vehicle body vertical acceleration and improve the ride comfort compared with the passive fractional-order suspension system, whenever the vehicle is running on a sinusoidal surface or random surface.

scholarly journals Design and FEA Simulation of Vehicle Suspension System by Using ANSYS

2021 ◽  
pp. 32-41
Author(s):  
Rashmi Paliwal ◽  
Rahul Shrivastava
Keyword(s):  
Cast Iron ◽  
Equivalent Stress ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Low Carbon ◽  
Element Analysis ◽  
Total Strength ◽  
Suspension Systems ◽  
Carbon Dioxide Co2 ◽  
Vehicle Suspension System

The suspension system is a combination of tires, springs, shock absorbers, and connectors that connect the vehicle to its wheels, allowing the vehicle to travel reasonably well.  The primary goal of this research was to mitigate the suspension system's overall weight. And improve the total strength of the vehicle suspension system by using ANSYS. Calculated the total deformation and equivalent stress at different loading conditions and check the durability of the system by using the FEA method. The deployment of FEA (finite element analysis) to analyses the fatigue life and stationary stress of a Vehicle Suspension System resulted in a flexible architecture that can be utilized in Vehicle Suspension Systems implementations. The current carbon alloy VSS can be lowered to a compact Vehicle Suspension Systems with better durable capabilities and good mechanical qualities, as well as emitting low carbon dioxide (CO2) benefits. On comparing The titanium Ti-6Al-4V with Titanium Ti-13V-11Cr-3Al and cast iron, inside this analysis it is concluded that  titanium Ti-6Al-4V outperforms than other two with regards to the material composition.  Seeing as titanium Ti-6Al-4V has a greater yield stress on comparing to titanium Ti-13V-11Cr-3Al.  The cast iron and titanium Ti-13V-11Cr-3Al have high densities while Titanium Ti-6Al-4V has low densities .

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 Design of a modified linear quadratic regulator for vibration control of suspension systems

2011 ◽  
Vol 2 (1) ◽  
pp. 25-31
Author(s):  
Ş. Yildirim ◽  
M. Kalkat ◽  
İ. Uzmay ◽  
G. Husi
Keyword(s):  
Degrees Of Freedom ◽  
Experimental System ◽  
Linear Quadratic Regulator ◽  
Suspension System ◽  
Superior Performance ◽  
Linear Quadratic ◽  
Suspension Systems ◽  
Road Profile ◽  
Vehicle Suspension System ◽  
Non Linear System

Abstract This paper is concerned with the construction of a prototype active vehicle suspension system for a one-wheel car model by using a modified Linear Quadric Regulator (LQR). The experimental system is approximately described by a non-linear system with two degrees of freedom subject to excitation from a road profile. The active control at the suspension location is designed by using feedback constant gain controller structure. The experimental results show that the active suspension system with LQR more improves the control performance than standard PID controller. On the other hand, the results improved that the modified LQR has superior performance for controlling suspension systems in real time.

Novel Transmissibility Shaping Control for Regenerative Vehicle Suspension Systems

2010 ◽  
Author(s):  
Xubin Song ◽  
Dongpu Cao
Keyword(s):  
Control Method ◽  
Dynamic Performance ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Efficient Manner ◽  
Suspension Systems ◽  
Model Free ◽  
Displacement Pump ◽  
System 2 ◽  
Vehicle Suspension System

This research proposes a novel transmissibility shaping control (T-shaping Control) method and explores its potential performance benefits for active vehicle suspension systems with energy-regeneration [1]. The proposed model-free T-shaping control integrates a range of sub-strategies based on the frequency information extracted from measured dynamic signals. Each strategy is designed to function dominantly in a certain frequency range to achieve a desirable (or optimal) transmissibility of vehicle responses for enhanced vehicle dynamic performance and safety. Different sub-strategies employed for different frequency ranges consist of stiffness control, skyhook control, groundhook control, and variable damping. In order to demonstrate the effectiveness of this proposed control method, a novel tunable compressible fluid strut (CFS) integrating with digital displacement pump motor (DDPM) is used to form an energy-regenerative controllable vehicle suspension system [2–4]. Two vehicle models, including quarter-car and full-vehicle models, are employed to investigate the dynamic performance of a road vehicle with the proposed T-shaping control and novel regenerative suspension system. The results demonstrate the effectiveness and considerable performance enhancements of the proposed novel T-shaping control applied to the novel CFS suspension system in a very energy-efficient manner.

Sign in / Sign up

Export Citation Format

Share Document