Model-based fault detection and isolation in automotive yaw moment control system

2017 ◽  
Vol 18 (3) ◽  
pp. 405-416 ◽  
Author(s):  
Seung-Han You ◽  
Young Man Cho ◽  
Jin-Oh Hahn
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Model Based ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Yaw Moment

Innovative Active Vehicle Safety Using Integrated Stabilizer Pendulum and Direct Yaw Moment Control

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Avesta Goodarzi ◽  
Fereydoon Diba ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Control System ◽  
Model Simulation ◽  
Dynamic Control ◽  
Superior Performance ◽  
Steering Control ◽  
Pendulum System ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Yaw Moment

Basically, there are two main techniques to control the vehicle yaw moment. First method is the indirect yaw moment control, which works on the basis of active steering control (ASC). The second one being the direct yaw moment control (DYC), which is based on either the differential braking or the torque vectoring. An innovative idea for the direct yaw moment control is introduced by using an active controller system to supervise the lateral dynamics of vehicle and perform as an active yaw moment control system, denoted as the stabilizer pendulum system (SPS). This idea has further been developed, analyzed, and implemented in a standalone direct yaw moment control system, as well as, in an integrated vehicle dynamic control system with a differential braking yaw moment controller. The effectiveness of SPS has been evaluated by model simulation, which illustrates its superior performance especially on low friction roads.

Direct yaw moment control system based on driver behaviour recognition

2008 ◽  
Vol 46 (sup1) ◽  
pp. 911-921 ◽  
Author(s):  
Pongsathorn Raksincharoensak ◽  
Takuya Mizushima ◽  
Masao Nagai
Keyword(s):  
Control System ◽  
Driver Behaviour ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Behaviour Recognition ◽  
Yaw Moment

Model-based fault-tolerant control for an automotive air suspension control system

2011 ◽  
Vol 225 (11) ◽  
pp. 1462-1480 ◽  
Author(s):  
Hyunsup Kim ◽  
Hyeongcheol Lee
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Model Based ◽  
System A ◽  
Air Suspension ◽  
Proposed Model ◽  
Suspension Control

This paper presents a new fault-tolerant control (FTC) algorithm for an automotive air suspension control (ASC) system. The FTC algorithm proposed in this paper provides the fault detection, diagnosis, and management of a closed-loop air suspension control system. A new model-based fault detection and isolation algorithm for the height sensors, which are critical but vulnerable components of the ASC system, is also proposed. The height sensor fault is detected on the basis of the geometric relationships of the suspension and is isolated by implementing the analytical redundancy of the height sensors using roll and pitch angle estimates derived by a Kalman filter. An adaptive threshold is designed and applied in order to enhance the robustness of the fault detection and isolation against model uncertainties. The effectiveness of the proposed model-based FTC algorithm is verified via simulation and actual vehicle tests.

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