Fuzzy Logic Based Vehicle Stability Enhancement Through Combined Differential Braking and Active Front Steering

2005 ◽  
Author(s):  
J. Ahmadi ◽  
A. Ghaffari ◽  
R. Kazemi
Keyword(s):  
Fuzzy Logic ◽  
Steering System ◽  
Vehicle Stability ◽  
Fuzzy Logic Controllers ◽  
Vehicle Model ◽  
Active Front Steering ◽  
Highly Nonlinear ◽  
Road Condition ◽  
The Stability ◽  
Stability Enhancement

This paper examines the usefulness of a combined differential braking and active front steering system on the stability enhancement of a vehicle. The two manipulated inputs for steering intervention are the added front steer angle and the brake torque, where the later is applied at only one wheel at a time. In this study active front steering controller is designed independent of differential braking controller. Since the yaw and lateral motions are highly nonlinear, two fuzzy logic controllers are constructed to compensate the effects of road condition and parameter variation. Computer simulations using nonlinear seven degree of freedom vehicle model show the strong capability of the combined approach and its relative merit compared to the case that one subsystem is actuated.

Fuzzy Logic Based Vehicle Stability Enhancement Through Active Rear Steering

2005 ◽  
Author(s):  
A. Ghaffari ◽  
J. Ahmadi ◽  
R. Kazemi
Keyword(s):  
Fuzzy Logic ◽  
Steering System ◽  
Vehicle Stability ◽  
Control Input ◽  
Vehicle Model ◽  
Inference System ◽  
Vehicle Handling ◽  
Stability Enhancement ◽  
Logic Inference ◽  
Yaw Moment

This paper introduces an investigation of a steering intervention system based on active rear steering system (RWS) which uses rear steer angle as control input. The induced yaw moment on the vehicle affects handling states, there by increasing the steering performance. The steering function achieved through RWS can then be used to assist the driver in severe maneuvers that most drivers are not familiar with. Because of the high nonlinearities and uncertainties that exist in vehicle handling behavior a fuzzy logic inference system is developed to explore RWS feasibility and capability. Computer simulations using nonlinear seven degree of freedom vehicle model show the remarkable enhancements of RWS vehicle.

The Research on 4WS Vehicle Steering Stability by Modeling and Simulation

2011 ◽  
Vol 403-408 ◽  
pp. 3099-3103
Author(s):  
Dai Sheng Zhang ◽  
Jun Jie Huang ◽  
Hao Wang
Keyword(s):  
Modeling And Simulation ◽  
High Speed ◽  
Steering System ◽  
Vehicle Control ◽  
Control Mode ◽  
Vehicle Design ◽  
Vehicle Stability ◽  
Vehicle Model ◽  
Simulation Research ◽  
Theory Research

In order to improve vehicle steering stability, the influence of tire loads and steering system to the vehicle stability is taken into account in this paper, and the 4WS vehicle model is established and modeling and simulation research is carried through with the Matalab/simulink. The results point out the differences and characters of vehicle control mode in low speed and high speed. This model provides a method for 4WS vehicle design, improvement and optimization, and also provides reference for 4WS theory research and test check.

Vehicle Stability Improvement by Active Front Steering Control

2007 ◽  
Author(s):  
Deling Chen ◽  
Chengliang Yin ◽  
Li Chen
Keyword(s):  
Time Estimation ◽  
Linear Quadratic Regulator ◽  
Steering System ◽  
Angle Measurement ◽  
Vehicle Stability ◽  
Steering Control ◽  
Linear Quadratic ◽  
Sideslip Angle ◽  
Feedback Parameter ◽  
Active Front Steering

This paper presents the vehicle stability improvement by active front steering (AFS) control. Firstly, a mathematical model of the steering system incorporating vehicle dynamics is analyzed based on the structure of the AFS system. Then feedback controller with linear quadratic regulator (LQR) optimization is proposed. In the controller, the assisted motor in the system is controlled by the combination of feedforward method and feedback method. And the feedback parameter is the yaw rate together with the sideslip angle. Due to the difficulties associated with the sideslip angle measurement of vehicle, a state observer is designed to provide real time estimation to meet the demands of feedback. In the last, the system is simulated in MATLAB. The results show that the vehicle handling stability is improved with the AFS control, and the effectiveness of the control system is demonstrated.

Stable headway prediction of vehicle platoon based on the 5-degree-of-freedom vehicle model

2018 ◽  
Vol 233 (6) ◽  
pp. 1570-1585 ◽  
Author(s):  
Shuming Shi ◽  
Ling Li ◽  
Yu Mu ◽  
Guanghui Chen
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Rotational Velocity ◽  
Autonomous Vehicle ◽  
Degree Of Freedom ◽  
Vehicle Stability ◽  
Vehicle Model ◽  
Vehicle System ◽  
Vehicle Platoon ◽  
The Stability

Vehicular ad hoc network and cooperative adaptive cruise control system make vehicle platooning with small headway feasible. In the study of the autonomous vehicle platoon system under the vehicular ad hoc network condition, the linear vehicle model is usually used to analyze the minimum space-gap, safety space-gap, and so on. However, the stability of nonlinear vehicle system shows that there are limitations when using the linearized vehicle model to analyze vehicle stability. The linear model cannot reflect the influence of the system nonlinear coupling on the vehicle stability. Therefore, in this paper, we use the validated 5-degree-of-freedom (longitudinal velocity, lateral velocity, yaw rate, front wheel rotational velocity, and rear wheel rotational velocity) nonlinear model to analyze the stable intra-platoon spacing of the autonomous vehicle platoon system under the condition of VANET. In order to study the safety intra-platoon spacing of vehicle platoon running in the complex path, a following controller is designed for vehicle platoon running in the corners. The controller adopts the method of vertical and horizontal decentralized control. The longitudinal control is to realize the expected space-gap of vehicles in vehicle platoon, and the lateral control is to achieve the position and orientation following of the preceding vehicle. Based on the stability verification of the following controller, the following control characteristics of vehicle system are analyzed, and the stable headway required for vehicles in vehicle platoon running in the complex path is predicted by the method of simulation experiment.

Active camber system for lateral stability improvement of urban vehicles

2019 ◽  
Vol 233 (14) ◽  
pp. 3824-3838 ◽  
Author(s):  
Mansour Ataei ◽  
Chen Tang ◽  
Amir Khajepour ◽  
Soo Jeon
Keyword(s):  
Vehicle Dynamics ◽  
Vehicle Stability ◽  
Lateral Stability ◽  
Tire Model ◽  
Vehicle Model ◽  
Sideslip Angle ◽  
Friction Forces ◽  
Additional Degree ◽  
Tire Force ◽  
Active Front Steering

A suspension system with the capability of cambering has an additional degree of freedom for changing camber angle to increase the maximum lateral tire force. This study investigates the effects of cambering on overall vehicle stability with emphasis on applications to urban vehicles. A full vehicle model with a reliable tire model including camber effects is employed to investigate the vehicle dynamics behavior under cambering. Besides, a linearized vehicle model is used to analytically study the effects of camber lateral forces on vehicle dynamics. Vehicle behavior for different configurations of camber angles in front and rear wheels is studied and compared. Then, an active camber system is suggested for improvement of vehicle lateral stability. Specifically, performances of active front camber, active rear camber, and their combination are investigated. The results show that a proper strategy for camber control can improve both yaw rate and sideslip angle, simultaneously. Finally, the active front camber system is compared with the well-known active front steering. It is shown that, utilizing more friction forces at the limits, active front camber is more effective in improving maneuverability and lateral stability than active front steering.

scholarly journals Integrated Chassis Control of Active Front Steering and Yaw Stability Control Based on Improved Inverse Nyquist Array Method

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Bing Zhu ◽  
Yizhou Chen ◽  
Jian Zhao
Keyword(s):  
Reference Model ◽  
Stability Control ◽  
Response Analysis ◽  
Vehicle Model ◽  
Stability Performance ◽  
Integrated Chassis Control ◽  
Active Front Steering ◽  
Yaw Stability ◽  
Chassis Control ◽  
The Stability

An integrated chassis control (ICC) system with active front steering (AFS) and yaw stability control (YSC) is introduced in this paper. The proposed ICC algorithm uses the improved Inverse Nyquist Array (INA) method based on a 2-degree-of-freedom (DOF) planar vehicle reference model to decouple the plant dynamics under different frequency bands, and the change of velocity and cornering stiffness were considered to calculate the analytical solution in the precompensator design so that the INA based algorithm runs well and fast on the nonlinear vehicle system. The stability of the system is guaranteed by dynamic compensator together with a proposed PI feedback controller. After the response analysis of the system on frequency domain and time domain, simulations under step steering maneuver were carried out using a 2-DOF vehicle model and a 14-DOF vehicle model by Matlab/Simulink. The results show that the system is decoupled and the vehicle handling and stability performance are significantly improved by the proposed method.

scholarly journals INVESTIGATION OF INTELLIGENT CONTROLLER FOR NON-LINEAR SPHERICAL TANK SYSTEM

2021 ◽  
Vol 9 (2) ◽  
pp. 1053-1061
Author(s):  
Ajith B. Singh, Et. al.
Keyword(s):  
Fuzzy Logic ◽  
Volume Ratio ◽  
Cost Effective ◽  
Effluent Treatment ◽  
Fuzzy Logic Controllers ◽  
Spherical System ◽  
Spherical Tank ◽  
Tank System ◽  
The Stability ◽  
Logic Controllers

Spherical tanks are used to store fluids in many industries such as petrochemical, effluent treatment, and aerospace. Spherical tanks are used as they are highly resistant to internal pressure making them suitable for storing high-pressure materials due to their large volume, small weight, and strong load-bearing capacity. The spherical tanks have the lowest possible surface area to volume ratio. These tanks are preferred due to their capability of balancing pressure in and out of the tank and their ability to minimize the amount of heat that gets inside the tank wall. It is cost-effective when compared to other tanks. But, controlling the water level in the spherical tank is difficult and a highly challenging one. In this article, the aim is to stabilize the level of the spherical tank by using the PID and FUZZY logic controllers. By controlling nonlinear dynamic behavior, uncertainty, time-varying parameters, frequency disturbances and dead time, the stability of the tank is achieved. The mathematical modelling of the spherical system is obtained using first principles design and the stability of the model is analyzed using various techniques. Then, the simulation is done using MATLAB and the responses are obtained and compared for PID and FUZZY logic. Based on these comparisons made on the performance of the PID and FUZZY logic controllers, the results are concluded

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