Integrated Control of Vehicle System Dynamics: Theory and Experiment

Chen, Wuwei; Xiao, Hansong; Liu, Liqiang; Zu, Jean W.; Zhou, HuiHui

doi:10.5772/21766

Cited by 9 publications

(10 citation statements)

References 17 publications

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“…Moreover, various algorithms have been developed and tested. According to [19], [33], [34]- [37], control allocation methods are more suitable for this problem, especially for over-actuated vehicles. These methods have been reviewed and compared in [30], [38].…”

Section: Discussionmentioning

confidence: 99%

Review of integrated vehicle dynamics control architectures

Kissai

Monsuez

Tapus

2017

2017 European Conference on Mobile Robots (ECMR)

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Most of the chassis systems are developed by automotive suppliers to improve a specific vehicle performance. Drivers, and consequently vehicle manufacturers, are more concerned by the overall behaviour of the Vehicle. Many coordination architectures have been proposed in the literature in order to integrate different chassis systems in a single vehicle. In this paper, these architectures are compared and discussed. Two major classes are proposed: Downstream and Upstream Coordination. The purpose of this classification is to help car manufacturers and suppliers standardize an Integrated Vehicle Dynamics Control architecture for faster and more flexible designs.

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Section: Discussionmentioning

confidence: 99%

Review of integrated vehicle dynamics control architectures

Kissai

Monsuez

Tapus

2017

2017 European Conference on Mobile Robots (ECMR)

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“…(1) Decision layer: it identifies the current driving situation and its stability; it decides how to coordinate the subsystems actions and their operating mode. This multilayer and hierarchical architecture has some advantages: (1) it divides the computational load into several ECUs, (2) it allows information sharing, (3) it improves system flexibility (reconfigurability), and (4) a modular scheme capability [26]. The information bus contains sensors measurements and actuators functions.…”

Section: Global Chassis Controlmentioning

confidence: 99%

Global Chassis Control System Using Suspension, Steering, and Braking Subsystems

Vivas-Lopez

Tudón-Martínez

Hernández-Alcantara

2015

Mathematical Problems in Engineering

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A novelGlobal Chassis Control(GCC) system based on a multilayer architecture with three levels: top: decision layer, middle: control layer, and bottom: system layer is presented. The main contribution of this work is the development of a data-based classification and coordination algorithm, into a single control problem. Based on a clustering technique, the decision layer classifies the current driving condition. Afterwards, heuristic rules are used to coordinate the performance of the considered vehicle subsystems (suspension, steering, and braking) using local controllers hosted in the control layer. The control allocation system uses fuzzy logic controllers. The performance of the proposed GCC system was evaluated under different standard tests. Simulation results illustrate the effectiveness of the proposed system compared to an uncontrolled vehicle and a vehicle with a noncoordinated control. The proposed system decreases by 14% the braking distance in the hard braking test with respect to the uncontrolled vehicle, the roll and yaw movements are reduced by 10% and 12%, respectively, in the Double Line Change test, and the oscillations caused by load transfer are reduced by 7% in a cornering situation.

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“…That is, in the entire vehicle system, the driver still functions as the primary controller and active control units are used as secondary or assistant units [5]. Nowadays, there is a large number of active dynamic controllers made available for vehicles to provide driver assistance and enhance passenger comfort, vehicle handling, stability and safety [6], [7]. In an active control, the control system replenishes driver action by sensing, complementing, and modifying it in a safe manner tending to handle the vehicle automatically.…”

Section: Introductionmentioning

confidence: 99%

Design and Assessment of a Speed-Based Integrated Active Vehicle Controller for Lateral Stability

Albukair

Soliman

Ahmed

2020

JES. Journal of Engineering Sciences

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An integrated active vehicle control system implementing fuzzy-logic control (FLC) is introduced. The system integrates three commercially-available active vehicle control systems, namely, Active Front Steering (AFS), Electronic Stability Control (ESC) and Torque Vectoring System (TVS) aiming at enhancing vehicle handling and cornering stability and rollover prevention. Two different vehicle models were constructed to simulate the dynamic behavior of the system with and without the proposed integration controller, namely, a 14-DOF vehicle dynamic model with nonlinear tire characteristics and a 2DOF bicycle reference model. Last model was utilized to generate controller's reference values of vehicle's yaw rate and body side slip angle at a given forward speed and driver's steering input. Simulation was carried out in the MATLAB/SIMULINK software environment. System effectiveness was investigated applying five different standard cornering test maneuvers at different vehicle forward speeds of 10, 20 and 30m/s. Simulated test maneuvers are: step, Jturn, single lane change (SLC), sine with dwell, (SWD) and fishhook. Results reveal that, for stability enhancement, AFS is most effective at low vehicle speeds with declining efficacy as speed goes up. Both ESC and TVS have been found to be equally effective at moderate to high speeds. However, due to the intrusive nature of ESC, TVS is considered to be the favored stability control mechanism. In conclusion, an integrated chassis control (ICC) strategy has been proposed that improves vehicle handling and cornering performance across the entire operating range of speed using 1073

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Integrated Control of Vehicle System Dynamics: Theory and Experiment

Cited by 9 publications

References 17 publications

Review of integrated vehicle dynamics control architectures

Review of integrated vehicle dynamics control architectures

Global Chassis Control System Using Suspension, Steering, and Braking Subsystems

Design and Assessment of a Speed-Based Integrated Active Vehicle Controller for Lateral Stability

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