Vehicle Dynamics in Response to the Maneuver of Precision Immobilization Technique

2008 ◽  
Author(s):  
Jing Zhou ◽  
Jianbo Lu ◽  
Huei Peng
Keyword(s):  
Control System ◽  
Law Enforcement ◽  
Vehicle Dynamics ◽  
Stability Control ◽  
Electronic Stability Control ◽  
Yaw Control ◽  
Post Impact ◽  
Simulation Results ◽  
The Law ◽  
Dynamics Models

The Precision Immobilization Technique (PIT) is a maneuver frequently used by the law enforcement to terminate a hazardous vehicle pursuit situation. The maneuver is performed by intentionally nudging the pursued vehicle sideways to create large yaw motion which renders the pursued vehicle out of control. This work investigates the behavior of vehicles involved in this maneuver, develops dynamics models for the pre-impact, impact, and post-impact stages. Simulation results provide guidelines for the effective execution of the maneuver. In addition, the case for the vehicle equipped with an active yaw control system, such as the Electronic Stability Control, in response to the PIT maneuver is also addressed.

Multi-layer controller with state-constraint: Vehicle lateral stability control based on fuzzy logic

2021 ◽  
pp. 095440702110142
Author(s):  
Neng Wan ◽  
Guangping Zeng ◽  
Chunguang Zhang ◽  
Dingqi Pan ◽  
Songtao Cai
Keyword(s):  
Control System ◽  
Integrated Control ◽  
State Constraint ◽  
Stability Control ◽  
Lateral Stability ◽  
System A ◽  
Velocity Reduction ◽  
Vehicle Velocity ◽  
Allowable Range ◽  
Simulation Results

This paper deals with a new state-constrained control (SCC) system of vehicle, which includes a multi-layer controller, in order to ensure the vehicle’s lateral stability and steering performance under complex environment. In this system, a new constraint control strategy with input and state constraints is applied to calculate the steady-state yaw moment. It ensures the vehicle lateral stability by tracking the desired yaw rate value and limiting the allowable range of the side slip. Through the linkage of the three-layer controller, the tire load is optimized and achieve minimal vehicle velocity reduction. The seven-degree-of-freedom (7-DOF) simulation model was established and simulated in MATLAB to evaluate the effect of the proposed controller. Through the analysis of the simulation results, compared with the traditional ESC and integrated control, it not only solves the problem of obvious velocity reduction, but also solves the problem of high cost and high hardware requirements in integrated control. The simulation results show that designed control system has better performance of path tracking and driving state, which is closer to the desired value. Through hardware-in-the-loop (HIL) practical experiments in two typical driving conditions, the effectiveness of the above proposed control system is further verified, which can improve the lateral stability and maneuverability of the vehicle.

Integrated Vehicle Dynamics Control Via Torque Vectoring Differential and Electronic Stability Control to Improve Vehicle Handling and Stability Performance

2018 ◽  
Vol 140 (7) ◽  
Author(s):  
Seyed Mohammad Mehdi Jaafari ◽  
Kourosh Heidari Shirazi
Keyword(s):  
Vehicle Dynamics ◽  
Phase Plane ◽  
Stability Control ◽  
Stable Region ◽  
Electronic Stability Control ◽  
Vehicle Handling ◽  
Matlab Simulink ◽  
Β Phase ◽  
Torque Vectoring ◽  
Chassis Control

This paper proposed a full vehicle state estimation and developed an integrated chassis control by coordinating electronic stability control (ESC) and torque vectoring differential (TVD) systems to improve vehicle handling and stability in all conditions without any interference. For this purpose, an integrated TVD/ESC chassis system has been modeled in Matlab/Simulink and applied into the vehicle dynamics model of the 2003 Ford Expedition in carsim software. TVD is used to improve handling in routine and steady-state driving conditions and ESC is mainly used as the stability controller for emergency maneuvers or when the TVD cannot improve vehicle handling. By the β−β˙ phase plane, vehicle stable region is determined. Inside the reference region, the handling performance and outside the region the vehicle stability has been in question. In order to control the integrated chassis system, a unified controller with three control layers based on fuzzy control strategy, β−β˙ phase plane, longitudinal slip, and road friction coefficient of each tire is designed in Matlab/Simulink. To detect the control parameters, a state estimator is developed based on unscented Kalman filter (UKF). Bees algorithm (BA) is employed to optimize the fuzzy controller. The performance and robustness of the integrated chassis system and designed controller were conformed through routine and extensive simulations. The simulation results via a co-simulation of MATLAB/Simulink and CarSim indicated that the designed integrated ESC/TVD chassis control system could effectively improve handling and stability in all conditions without any interference between subsystems.

scholarly journals Hardware-in-the-loop simulation for estimating dynamics parameters of vehicle

2019 ◽  
Vol 17 (6) ◽  
pp. 39
Author(s):  
Đông Nguyễn Văn
Keyword(s):  
Control System ◽  
Real Time ◽  
Vehicle Dynamics ◽  
Data Transfer ◽  
Dynamical Model ◽  
Hardware In The Loop ◽  
Virtual Sensor ◽  
Virtual Vehicle ◽  
Simulation Results

Information about vehicle dynamics states is indispensable for modern dynamics control system on vehicle today. For economic reasons, a technique called “virtual sensor” which bases on dynamical model of vehicle and an observation algorithm are used to estimate real states of vehicle. In this paper, a system based on Hardware-in-the-loop simulation will be used to estimate the vehicle states in real time. CarSim is a professional software for simulating the dynamics of vehicle which is used as a virtual vehicle in this paper. An observer based on Luen-berge method is developed and implemented by Arduino Mega 2560 board. Matlab/Simulink plays the role of acquistion and data transfer center. The simulation results show the good performance of observer in real time condtion when the estimated values are well converged to real values given by CarSim.

Three Axes MEMS Combined Sensor for Electronic Stability Control System

2011 ◽  
Vol 131 (8) ◽  
pp. 279-285
Author(s):  
Heewon Jeong ◽  
Yasushi Goto ◽  
Takanori Aono ◽  
Toshiaki Nakamura ◽  
Masahide Hayashi
Keyword(s):  
Control System ◽  
Stability Control ◽  
Electronic Stability Control ◽  
Stability Control System ◽  
Combined Sensor
Sign in / Sign up

Export Citation Format

Share Document