The Influence of the Body Inertia Tensor on the Active Safety and Ride Comfort of Road Vehicles

2002 ◽  
Author(s):  
G. Mastinu ◽  
M. Gobbi ◽  
C.M. Miano
Keyword(s):  
Ride Comfort ◽  
The Body ◽  
Inertia Tensor ◽  
Active Safety ◽  
Road Vehicles ◽  
Body Inertia

Optimal Ride Comfort and Active Safety of Road Vehicles

2007 ◽  
pp. 121-158
Author(s):  
Giampiero Mastinu ◽  
Massimiliano Gobbi ◽  
Carlo Miano
Keyword(s):  
Ride Comfort ◽  
Active Safety ◽  
Road Vehicles

InTenso+ System: Measured Centre of Gravity Locations and Inertia Tensors of Road Vehicles

2014 ◽  
Author(s):  
Massimiliano Gobbi ◽  
Giampiero Mastinu ◽  
Mario Pennati ◽  
Giorgio Previati
Keyword(s):  
Initial Conditions ◽  
Measured Data ◽  
The Body ◽  
Inertia Tensor ◽  
Test Rig ◽  
Road Vehicles ◽  
Centre Of Gravity ◽  
Vehicle Data ◽  
Mass Properties ◽  
Short Time

The InTenso+ system has been developed at Politecnico di Milano (Technical University of Milan) for the measurement of the centre of gravity location and of the inertia tensor of vehicles and their components (such as gearboxes and engines). The test rig is basically a multi-bar pendulum carrying the body under investigation and oscillating from well-known initial conditions. By means of a proper mathematical procedure, the mass properties of the body are accurately measured within a very short time. The InTenso+ System has been employed for a number of measurements of the mass properties of road vehicles. In this paper, the measured data are collected and analyzed. Formulas for the estimation of the mass properties (mass, centre of gravity location and inertia tensor) from easily accessible vehicle data are proposed and tested against the measured values. It is confirmed that the mass properties coming from the considered estimations are useless if accurate simulations of the dynamic behavior of a vehicle have to be performed.

scholarly journals HIS-Based Semiactive Suspension Dual-Frequency-Range Switching Control to Improve Ride Comfort and Antiroll Performance

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Xiaojian Wu ◽  
Xiang Qiu ◽  
Bing Zhou ◽  
Juhua Huang ◽  
Tingfang Zhang
Keyword(s):  
Ride Comfort ◽  
Control Method ◽  
Excitation Frequency ◽  
Switching Control ◽  
Parameter Sensitivity ◽  
The Body ◽  
Semiactive Control ◽  
Frequency Bandwidth ◽  
Dual Frequency ◽  
Frequency Range

The parameter sensitivity analysis of a hydraulically interconnected suspension (HIS) system shows that the sensitivity of the vibration responses in the bounce and roll modes to the hydraulic parameters are complementary. A novel HIS-based semiactive control method was thereby proposed to improve ride comfort and antiroll performance. In addition, the classic sky-hook max-min damping switched strategy provides significant benefits around the body resonance, but otherwise performs similarly to, or sometimes even worse than, passive suspension. Therefore, a dual-frequency-range switching strategy, which has optimal max-min damping in both frequency ranges, was developed for improving the ride comfort in a wider frequency bandwidth. In this study, a 9-DOF HIS system dynamics model was established, and the hydraulically interconnected subsystem model was validated experimentally. Subsequently, the elastic and damping characteristics of the hydraulically interconnected subsystem, as well as the parameter sensitivity in bounce mode and roll mode, were analyzed. Next, the sensitive parameters were optimized under sinusoidal excitation at various frequencies, and a frequency-range selector used to determine the excitation frequency range and adjust the shock absorber damping was designed. Finally, simulations in the frequency domain and time domain show that the proposed HIS-based semiactive dual-frequency-range switching control suspension improves the ride comfort in a wider frequency bandwidth and enhances the antiroll performance in the transient and steady steering process.

Series Active Variable Geometry Suspension Robust Control Based on Full-Vehicle Dynamics

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Cheng Cheng ◽  
Simos A. Evangelou
Keyword(s):  
High Performance ◽  
Performance Enhancement ◽  
Ride Comfort ◽  
The Body ◽  
Control Technique ◽  
Variable Geometry ◽  
Physical Constraints ◽  
Car Model ◽  
Time Domains ◽  
Vertical Accelerations

This paper demonstrates the ride comfort and road holding performance enhancement of the new road vehicle series active variable geometry suspension (SAVGS) concept using an H∞ control technique. In contrast with the previously reported work that considered simpler quarter-car models, the present work designs and evaluates control systems using full-car dynamics thereby taking into account the coupled responses from the four independently actuated corners of the vehicle. Thus, the study utilizes a nonlinear full-car model that represents accurately the dynamics and geometry of a high performance car with the new double wishbone active suspension concept. The robust H∞ control design exploits the linearized dynamics of the nonlinear model at a trim state, and it is formulated as a disturbance rejection problem that aims to reduce the body vertical accelerations and tire deflections while guaranteeing operation inside the existing physical constraints. The proposed controller is installed on the nonlinear full-car model, and its performance is examined in the frequency and time domains for various operating maneuvers, with respect to the conventional passive suspension and the previously designed SAVGS H∞ control schemes with simpler vehicle models.

Genetic optimization of a fuzzy active suspension system based on human sensitivity to the transmitted vibrations

2008 ◽  
Vol 222 (10) ◽  
pp. 1769-1780 ◽  
Author(s):  
M Montazeri-Gh ◽  
M Soleymani
Keyword(s):  
Energy Consumption ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Fitness Function ◽  
Active Suspension ◽  
The Body ◽  
System Control ◽  
Genetic Optimization ◽  
Simulation Results ◽  
Ride Index

Optimization of a vehicle fuzzy active suspension (AS) controller was previously performed on the basis of the amplitude of transmitted vibrations to the body. However, ride comfort depends strongly on the human sensitivity, which is a function of not only the amplitude but also the frequency contents of the transmitted vibrations. In this paper, genetic optimization of a fuzzy AS system based on the human sensitivity to the transmitted vibrations is presented. For this purpose, a fuzzy logic controller (FLC) is initially proposed for the AS system control. The FLC parameters are then tuned using a genetic algorithm (GA). The tuning process is first formulated as a single-objective optimization problem based on the human sensitivity and conventional r.m.s. amplitude criteria separately. The simulation results reveal that the optimization of a fuzzy AS based on the common r.m.s. amplitude criterion not only does not result in the optimal ride index, but also causes a considerable increase in the energy consumption. Moreover, in order to accommodate the conflicting characteristics of the AS system, the FLC parameters are tuned on the basis of a multi-objective fitness function incorporating human sensitivity, suspension travel, and energy consumption. The simulation results prove the effectiveness of the optimized FLC in hitting the simultaneous targets of ride comfort improvement as well as suspension travel and energy consumption reduction.

Model Predictive Control Application to Flexible-Bodied Railway Vehicles for Vibration Suppression

2013 ◽  
Vol 10 ◽  
pp. 25-35
Author(s):  
P.E. Orukpe
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
High Speed ◽  
Ride Comfort ◽  
The Body ◽  
Ride Quality ◽  
Linear Matrix ◽  
Railway Vehicle ◽  
Railway Vehicles ◽  
Effective Manner

In this paper, we apply model predictive control (MPC) based on mixed H2/H to active vibration control of the flexibility of railway vehicle to improve ride quality. However, the flexibility in the body of high-speed railway vehicles creates difficulties which in practice may result in the body structure being heavier than what it is supposed to be. The use of active suspension helps to model the vehicle and its flexibility in an effective manner. Conventional control approaches are compared with linear matrix inequality MPC technique using flexible-bodied railway vehicle as an example. The result indicates that the MPC technique performs better in improving ride comfort compared to the passive and classical techniques when flexible modes are present.

scholarly journals Optimal suspension settings for ride comfort of road vehicles

2010 ◽  
Vol 54 (2) ◽  
pp. 73 ◽  
Author(s):  
Dezső Szőke ◽  
János Lógó ◽  
Dániel B. Merczel
Keyword(s):  
Ride Comfort ◽  
Road Vehicles
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