Fault-tolerant control based on 2D game for independent driving electric vehicle suffering actuator failures

Author(s):  
Bohan Zhang ◽  
Shaobo Lu ◽  
Lin Zhao ◽  
Kaixing Xiao

This paper proposes a cooperative game-based actuator fault-tolerant control strategy for a four-wheel independent drive electric vehicle with an active front steering system. For achieving fault-tolerant control and targets cooperation, a two-dimensional game strategy is proposed to balance the stability and economy. The first-dimensional game is utilized to determine the dominant control target of the actuator, then the second-dimensional game is employed to assign the fault-tolerant control task for the remaining healthy actuators. The two dimensions are integrated based on the linear quadratic differential game theory, and a hybrid weighted Pareto frontier is thus established. A Shapley value based weight calculation method is proposed to obtain a set of fair and unique weights according to the importance of each player, which makes the solution of the optimal control problem more easily obtained. The effectiveness and real-time performance of the control strategy are tested under different scenarios. The simulation results demonstrate that the proposed strategy can balance the stability and economy well, outperforms the traditional method in terms of target tracking performance. For special case, the response of the yaw rate could be improved up to 39.83% comparing to that of the linear quadratic regulator method.

2021 ◽  
Vol 13 (9) ◽  
pp. 168781402110454
Author(s):  
Ruinan Chen ◽  
Jian Ou

In this paper, a hybrid fault-tolerant control strategy is putted forward to improve the stability of the four-wheel independent drive (4WID) electric vehicle with motor failures. To improve the handling performance of the vehicle with in-wheel motor failures, the faults of in-wheel motors are analyzed and modeled. Then, a model reference adaptive fault observer was designed to observe the faults in real-time. Based on the observation results, there are designed a model predictive control (MPC) based high-performance active fault-tolerant control (AFTC) strategy and a sliding mode control based high-robust passive fault-tolerant control (PFTC) strategy. However, the fault observation results may not always be accurately. For this circumstance, a hybrid fault-tolerant control strategy was designed to make the control method find a balance between optimality and robustness. Finally, a series of simulations are conducted on a hardware-in-loop (HIL) real-time simulator, the simulation results show that the control strategy designed in this paper is effectiveness.


Author(s):  
Taejun Song ◽  
Jongmin Lee ◽  
Kwangseok Oh ◽  
Kyongsu Yi

This paper describes model-based separated fault detection and fault tolerant control of longitudinal autonomous driving using dual-sliding mode observer for functional safety. Internal and environment sensors such as camera or radar are required to measure the acceleration information of the subject vehicle and the relative distance and velocity information between the preceding and subject vehicles in longitudinal autonomous driving. In order to detect the independent fault of each sensor, a dual-sliding mode observer (SMO) is used for fault reconstruction under the assumption that V2V (Vehicle to Vehicle) communication for vehicle driving state is available. The each SMO reconstructs the expected fault in sensor based on discontinuous injection term used for converging output error to zero. Based on the reconstructed fault by each SMO, faults are detected using threshold approach. When the fault is detected, the reconstructed fault is used for fault tolerant control by subtracting to faulty data. The proposed fault detection (FD) and fault tolerant control (FTC) algorithms were evaluated using actual driving data and a three-dimensional (3D) vehicle model with a linear quadratic regulator for following control. The evaluation results are presented and analyzed with regard to fault reconstruction, detection, and tolerant control in four cases wherein two types of faults were applied.


Author(s):  
Iman Sadeghzadeh ◽  
Ankit Mehta ◽  
Youmin Zhang

This paper proposes a useful approach to Fault Tolerant Control (FTC) based on the Model Reference Adaptive Control (MRAC) technique with application to a quadrotor helicopter Unmanned Aerial Vehicle (UAV) in hovering as well as trajectory tracking flight in order to control and keep the desired height and trajectory of the quadrotor helicopter in both normal conditions and in the presence of faults in one or more actuators. A Linear Quadratic Regulator (LQR) controller is used in cooperation with the MRAC to control the pitch and roll attitude of the helicopter. Three cases of fault are considered: 1) simulated fault in all the four actuators; 2) simulated fault in back and right motors; 3) a physical damage of 23% of one of the four propellers during autonomous flight. It can be seen from the test results that under the faulty and damage conditions MRAC controller provided a good response of the quadrotor UAV and result in safe landings of the quadrotor.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Oziel Hernández-Durán ◽  
Rosalba Galván-Guerra ◽  
Juan Eduardo Velázquez-Velázquez ◽  
Benjamín A. Itzá-Ortiz

A fault-tolerant control algorithm based on sliding modes is proposed to ensure the tracking of the desired trajectory for time-varying systems even in the presence of actuator faults. The proposed algorithm uses a continuous integral sliding mode and a linear quadratic regulator, together with control allocation and system inversion techniques, resulting in both a finite-time exact compensation of the faults and the exponential tracking of the reference.


Author(s):  
Yang Liu ◽  
Changfu Zong ◽  
Dong Zhang ◽  
Hongyu Zheng ◽  
Xiaojian Han ◽  
...  

The four-wheel independently driven and steered electric vehicle is a promising vehicle model having a strong potential for handling stability, flexibility, and consumption reduction. However, failure of the actuators of 4WIS/4WID vehicles could lead to performance reduction and dangerous accidents owing to their complex system. A fault-tolerant control approach is adopted in the integrated chassis controller such that the autonomously driven vehicle maintains its safety and stability while actuator failures occur. A linear quadratic regulator is utilized to track the reference path by adjusting the total forces and moment. To resolve any actuator failures, a control allocation method based on the pseudo-inverse matrix is introduced for decoupling the forces and moment based on the current state of the tires with cycle and correction. In the actuator control layer, the desired forces of the tires are achieved by regulating the steering angles and driving torques based on the inverse tire models of normal and flat tires. Three sets of experiments are used to test the efficiency of the proposed method when applied to a 4WIS/4WID vehicle. The results demonstrate that the proposed fault-tolerant control method can greatly improve the tracking performance and stability of 4WIS/4WID vehicles under conditions of actuator failures.


Mathematics ◽  
2018 ◽  
Vol 6 (10) ◽  
pp. 196 ◽  
Author(s):  
Piotr Borkowski

An adaptive ship steering system along a preset track is an example of an intelligent system. An optimal linear quadratic regulator (LQR) regulator with a symmetric indicator of control quality was adopted as the control algorithm. The model identification was based on the continuous version of the least squares method. A significant part of the article presents the proof of the stability of the proposed system. The results of the calculation experiments are provided to confirm the effective and correct working of the system.


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