Adaptive throttle controller design based on a nonlinear vehicle model

2004 ◽  
Author(s):  
Feng Gao ◽  
Keqiang Li ◽  
Jianqiang Wang ◽  
Xiaomin Lian
Keyword(s):  
Controller Design ◽  
Vehicle Model ◽  
Nonlinear Vehicle Model

Improving roll stability of tractor semi-trailer vehicles by using H∞ active anti-roll bar control system

2021 ◽  
pp. 095440702110139
Author(s):  
Vu Van Tan ◽  
Olivier Sename ◽  
Péter Gáspár
Keyword(s):  
Time Domain ◽  
Load Transfer ◽  
Controller Design ◽  
Freight Transportation ◽  
Torque Control ◽  
Lateral Acceleration ◽  
Vehicle Model ◽  
Steering Angle ◽  
Nonlinear Vehicle Model ◽  
The Time Domain

Tractor semi-trailers are increasingly playing an important role in freight transportation worldwide. Although most tractor semi-trailers are equipped with a passive anti-roll bar system, however accidents involving this type of vehicle are still frequent and have serious consequences. This paper presents an H∞ controller design for an active anti-roll bar system in order to enhance the roll stability of a tractor semi-trailer with the torque control generated at all axles. The considered performance outputs include the lateral acceleration, the normalised load transfer for both tractor and semi-trailer, as well as the magnitude of the torque control to avoid the actuator’s saturation. The effectiveness of the proposed method is evaluated in the frequency domain via the transfer function magnitude from the steering angle to the survey signals, and in the time domain through the nonlinear vehicle model of TruckSim® software. The evaluation results show that the roll stability of the tractor semi-trailer using the H∞ active anti-roll bar system has improved by more than 20% compared to a passive vehicle.

The stability analysis using Lyapunov exponents for high-DOF nonlinear vehicle plane motion

2021 ◽  
pp. 095440702110433
Author(s):  
Shuming Shi ◽  
Fanyu Meng ◽  
Minghui Bai ◽  
Nan Lin
Keyword(s):  
Stability Analysis ◽  
Quantitative Analysis ◽  
Lyapunov Exponents ◽  
Plane Motion ◽  
Vehicle Model ◽  
Motion Stability ◽  
Motion System ◽  
Nonlinear Vehicle Model ◽  
The Stability ◽  
Different Characteristics

The Lyapunov exponents method is an excellent approach for analyzing the vehicle plane motion stability, and the researchers demonstrated the effectiveness under 2-DOF vehicle model. However, whether the Lyapunov exponents approach can effectively reveal the characteristics of high-DOF nonlinear vehicle model is the key problem at present. In this paper, the Lyapunov exponents is applied to quantitatively analyze the stability of the nonlinear three and five degree of freedom vehicle plane motion system. The different characteristics between 2-DOF and high-DOF model are revealed and explained by using Lyapunov exponents. It illustrates the feasibility of using Lyapunov exponents to analyze the stability of high-DOF vehicle models, which supplements and perfects the existing quantitative analysis conclusion.

Robust Controller Design for Active Suspension Systems of Road Vehicles

2017 ◽  
Author(s):  
Shenjin Zhu ◽  
Yuping He
Keyword(s):  
Controller Design ◽  
Operating Conditions ◽  
Ride Quality ◽  
Vehicle Model ◽  
Linear Quadratic ◽  
Robust Controller ◽  
Baseline Design ◽  
Vehicle Suspensions ◽  
Suspension Systems ◽  
Active Suspension Systems

The Linear Quadratic Gaussian (LQG) technique has been applied to the design of active vehicle suspensions (AVSs) for improving ride quality and handling performance. LQG-based AVSs have achieved good performance if an accurate vehicle model is available. However, these AVSs exhibit poor robustness when the vehicle model is not accurate and vehicle operating conditions vary. The H∞ control theory, rooted in the LQG technique, specifically targets on robustness issues on models with parametric uncertainties and un-modelled dynamics. In this research, an AVS is designed using the H∞ loop-shaping control, design optimization, and parallel computing techniques. The resulting AVS is compared against the baseline design through numerical simulations.

Enhancement of Anti-locking Brake System Performance by using Intelligent Control Technique with Different Road Conditions

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
A.S. Emam ◽  
Eid S. Mohamed
Keyword(s):  
Controller Design ◽  
Brake System ◽  
Control Technique ◽  
Vehicle Model ◽  
Braking Performance ◽  
Emergency Braking ◽  
Stopping Distance ◽  
Logic Control ◽  
Longitudinal Slip ◽  
Safety Systems

Recently, the vehicle brake system equipped with anti-lock braking systems (ABS) is considered one of the most important effective safety systems. The importance of ABS, to get maintains the safety of vehicles on roads during emergency braking and it enables reliable stopping whilst maintaining the vehicle stability and ease steer-ability. Therefore, the aim of this research is to investigate the vehicle braking performance of controlled brake ABS that is designed with three types of controller and compares them, they are bang-bang, Proportional Integral Derivative (PID) and Fuzzy Logic Control (FLC) on rough dry and wet roads to control longitudinal slip. The main obstacles of controller design in automobile systems are concerned to high non-linearities of the mathematical model. 2DOF longitudinal quarter vehicle model with taking into account the rational motion of the tire is used to examine the braking performance. The tire-road interface model and braking system model are included in vehicle model. By reviewing the results, it was found that FLC method has an effective and better effect compared to two methods on the performance of brake system equipped with ABS system. It was found that vehicle stopping distance was reduced by 21.77m and 10.3m with dry and wet asphalt roads respectively compared to braking without ABS for fuzzy control at velocity 100 km/hr.

Predictive Control of Autonomous Ground Vehicles With Obstacle Avoidance on Slippery Roads

2010 ◽  
Author(s):  
Yiqi Gao ◽  
Theresa Lin ◽  
Francesco Borrelli ◽  
Eric Tseng ◽  
Davor Hrovat
Keyword(s):  
Obstacle Avoidance ◽  
Predictive Control ◽  
Autonomous Vehicles ◽  
Ground Vehicles ◽  
Vehicle Model ◽  
The Road ◽  
On Line ◽  
Nonlinear Vehicle Model ◽  
On The Road ◽  
High Level

Two frameworks based on Model Predictive Control (MPC) for obstacle avoidance with autonomous vehicles are presented. A given trajectory represents the driver intent. An MPC has to safely avoid obstacles on the road while trying to track the desired trajectory by controlling front steering angle and differential braking. We present two different approaches to this problem. The first approach solves a single nonlinear MPC problem. The second approach uses a hierarchical scheme. At the high-level, a trajectory is computed on-line, in a receding horizon fashion, based on a simplified point-mass vehicle model in order to avoid an obstacle. At the low-level an MPC controller computes the vehicle inputs in order to best follow the high level trajectory based on a nonlinear vehicle model. This article presents the design and comparison of both approaches, the method for implementing them, and successful experimental results on icy roads.

Controller Design and Road-Friendly Suspension Optimization: Half Vehicle Model

2020 ◽  
Author(s):  
Vikas Prasad ◽  
P. Seshu ◽  
Dnyanesh N. Pawaskar
Keyword(s):  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Performance Criteria ◽  
Control Law ◽  
Vehicle Model ◽  
Nsga Ii ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Active Damper

Abstract In this paper, the design of the suspension system for Heavy Goods Vehicles (HGV) is proposed, which deals with two performance criteria simultaneously. A semi-tractor trailer is used in present work and modeled with half vehicle model. Four types of linear, as well as non-linear, passive and semi-active suspension systems, are presented in this work. The control law is proposed for the semi-active suspension system using a PID controller to remove the need for passive damper along with active damper. Two objective optimization is performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Road Damage (RD) is taken as the first objective along with Goods Damage (GD) as the second objective. All problems are minimization problems. It is concluded based on Pareto front comparison of different suspension systems that the semi-active suspension system with the proposed control law performs well for HGV.

Controller Design and Road-Friendly Suspension Optimization: Half Vehicle Model

2021 ◽  
Author(s):  
vikas prasad ◽  
P. Seshu ◽  
Dnyanesh N. Pawaskar
Keyword(s):  
Controller Design ◽  
Vehicle Model

Handling Stability Performance Simulation and Analysis of Three Different Vehicle Models

2010 ◽  
Vol 29-32 ◽  
pp. 750-755
Author(s):  
Shu Feng Wang ◽  
Hua Shi Li ◽  
Cui Hua He
Keyword(s):  
Lateral Acceleration ◽  
Dynamics Model ◽  
Vehicle Model ◽  
Performance Simulation ◽  
Vehicle Handling ◽  
Stability Performance ◽  
Body Dynamics ◽  
Nonlinear Vehicle Model ◽  
Simulation Results ◽  
Multi Body

In order to obtain accurate vehicle handling stability performance, 2 DOF nonlinear vehicle model and multi-body dynamics vehicle model are established. Selecting the same vehicle parameters, step steering angle input simulations of three vehicle model (include 2DOF linear vehicle model) are carried out under the same driving conditions, simulation results are analyzed and compared. The simulation results show that 2DOF linear model can characterize the steering states of vehicle when vehicle lateral acceleration is small, but when vehicle lateral acceleration is big, Nonlinear vehicle model and multi-body dynamics model is accurate.

Enhancing Rollover Prevention and Vehicle Stability of Heavy Vehicle under Disturbance Effect

2014 ◽  
Vol 695 ◽  
pp. 596-600
Author(s):  
Fitri Yakub ◽  
Yasuchika Mori
Keyword(s):  
Controller Design ◽  
Heavy Vehicle ◽  
Vehicle Stability ◽  
Vehicle Model ◽  
Rollover Prevention ◽  
System A ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Braking Control ◽  
Double Track

This study enhances the model predictive control for coordination of active rear steering and direct yaw moment control maneuvers for rollover prevention, lane change maneuver, and vehicle stability in heavy vehicle system under the influence of front steering angle as a disturbance to the system. A single-track mode of lateral-yaw motions based on a linearized vehicle model with linear tire characteristics is used for controller design, while the vehicle model used includes roll dynamic motion for the double-track model with a nonlinear tire model. We tested the vehicle at middle forward speed and we propose braking control algorithm based on left and right of rear wheels instead of front and rear wheels. The simulation results show the proposed coordinated control yielded better performance for rollover prevention, and also useful to maintain and enhance vehicle stability along the desired path, and has the ability to eliminate the effect of disturbance.

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