scholarly journals Dynamic H andling Control System f or L ateral A gility Improvement Using Torque Vectoring

2021 ◽  
Vol 29 (6) ◽  
pp. 541-546
Author(s):  
Wanki Cho ◽  
Han-Byeol Gil ◽  
Seung-Han You
Keyword(s):  
Control System ◽  
Torque Vectoring ◽  
System F

scholarly journals Coordination of Lateral Vehicle Control Systems Using Learning-Based Strategies

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1291
Author(s):  
Balázs Németh
Keyword(s):  
Control System ◽  
Control Systems ◽  
Coordinated Control ◽  
Front Wheel ◽  
Steering Angle ◽  
Conventional Model ◽  
Linear Parameter Varying ◽  
Coordination Strategy ◽  
Torque Vectoring ◽  
Performance Specifications

The paper proposes a novel learning-based coordination strategy for lateral control systems of automated vehicles. The motivation of the research is to improve the performance level of the coordinated system compared to the conventional model-based reconfigurable solutions. During vehicle maneuvers, the coordinated control system provides torque vectoring and front-wheel steering angle in order to guarantee the various lateral dynamical performances. The performance specifications are guaranteed on two levels, i.e., primary performances are guaranteed by Linear Parameter Varying (LPV) controllers, while secondary performances (e.g., economy and comfort) are maintained by a reinforcement-learning-based (RL) controller. The coordination of the control systems is carried out by a supervisor. The effectiveness of the proposed coordinated control system is illustrated through high velocity vehicle maneuvers.

scholarly journals Design and Analysis of DYC and Torque Vectoring using Multiple-Frequency Control Electronic Differential in an Independent Rear Wheel Driven Electric Vehicle

2019 ◽  
Vol 9 (2) ◽  
pp. 307-315
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Control Method ◽  
Sliding Mode ◽  
Control Strategies ◽  
Frequency Control ◽  
Multiple Frequency ◽  
Traction Control ◽  
Traction Control System ◽  
Torque Vectoring

Electric vehicle (EV) are being embraced in recent times as they run on clean fuel, zero tail emission and are environment-friendly. Recent advancements in the field of power electronics and control strategies have made it possible to the advent in the vehicle dynamics, efficiency and range. This paper presents a design for traction control system (TCS) for longitudinal stability and Direct Yaw Control (DYC) for lateral stability simultaneous. The TCS and DYC is based on multiple frequency controlled electronic differential with a simple and effective approach. Along with it, some overviews have been presented on some state of the art in traction control system (TCS) and torque vectoring. The developed technique reduces nonlinearity, multisensory interfacing complexity and response time of the system. This torque and yaw correction strategy can be implemented alongside fuzzy control, sliding mode or neural network based controller. The effectiveness of the control method has been validated using a lightweight neighbourhood electric vehicle as a test platform. The acquired results confirm the versatility of proposed design and can be implemented in any DC motor based TCS/DYC.

Torque vectoring control system for distributed drive electric bus under complicated driving conditions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liang Su ◽  
Zhenpo Wang ◽  
Chao Chen
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Steering Wheel ◽  
Content Type ◽  
Yaw Rate ◽  
Torque Vectoring ◽  
Driving Conditions ◽  
Yaw Moment

Purpose The purpose of this study is to propose a torque vectoring control system for improving the handling stability of distributed drive electric buses under complicated driving conditions. Energy crisis and environment pollution are two key pressing issues faced by mankind. Pure electric buses are recognized as the effective method to solve the problems. Distributed drive electric buses (DDEBs) as an emerging mode of pure electric buses are attracting intense research interests around the world. Compared with the central driven electric buses, DDEB is able to control the driving and braking torque of each wheel individually and accurately to significantly enhance the handling stability. Therefore, the torque vectoring control (TVC) system is proposed to allocate the driving torque among four wheels reasonably to improve the handling stability of DDEBs. Design/methodology/approach The proposed TVC system is designed based on hierarchical control. The upper layer is direct yaw moment controller based on feedforward and feedback control. The feedforward control algorithm is designed to calculate the desired steady-state yaw moment based on the steering wheel angle and the longitudinal velocity. The feedback control is anti-windup sliding mode control algorithm, which takes the errors between actual and reference yaw rate as the control variables. The lower layer is torque allocation controller, including economical torque allocation control algorithm and optimal torque allocation control algorithm. Findings The steady static circular test has been carried out to demonstrate the effectiveness and control effort of the proposed TVC system. Compared with the field experiment results of tested bus with TVC system and without TVC system, the slip angle of tested bus with TVC system is much less than without TVC. And the actual yaw rate of tested bus with TVC system is able to track the reference yaw rate completely. The experiment results demonstrate that the TVC system has a remarkable performance in the real practice and improve the handling stability effectively. Originality/value In view of the large load transfer, the strong coupling characteristics of tire , the suspension and the steering system during coach corning, the vehicle reference steering characteristics is defined considering vehicle nonlinear characteristics and the feedforward term of torque vectoring control at different steering angles and speeds is designed. Meanwhile, in order to improve the robustness of controller, an anti-integral saturation sliding mode variable structure control algorithm is proposed as the feedback term of torque vectoring control.

A Torque Vectoring Control System for Maneuverability Improvement of 4WD EV

2013 ◽  
Vol 347-350 ◽  
pp. 899-903
Author(s):  
Yi He Gan ◽  
Lu Xiong ◽  
Yuan Feng ◽  
Felix Martinez
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Lower Layer ◽  
Lateral Acceleration ◽  
Slip Angle ◽  
Torque Distribution ◽  
Handling Performance ◽  
Yaw Rate ◽  
Model Following ◽  
Torque Vectoring

This paper studies the improvement of the handling performance of 4WD EV driven by in-wheel motors under regular driving conditions. Fundamentally the structure of torque vectoring control (TVC) system for handling control consists of two control layers. The upper layer is a model following controller which makes the vehicle follow the desired yaw rate limited by the side slip angle and lateral acceleration. The torque distribution constitutes the lower layer. Several simulations based on veDYNA/Simulink are conducted to verify the effectiveness of the control system. It is clarified that the control system exhibits satisfactory performance in both open and closed loop maneuvers and the agility of the electric vehicle is improved.

Digital electronic engine control system - F-15 flight test

1983 ◽  
Vol 20 (2) ◽  
pp. 134-141 ◽  
Author(s):  
W.J. Barrett ◽  
J.P. Rembold ◽  
F.W. Burcham ◽  
L.P. Myers
Keyword(s):  
Control System ◽  
Flight Test ◽  
Engine Control ◽  
Engine Control System ◽  
System F ◽  
Electronic Engine Control

Vehicle Dynamics Control of eAWD Hybrid Electric Vehicle Using Slip Ratio Optimization and Allocation

2018 ◽  
Vol 140 (9) ◽  
Author(s):  
Jose Velazquez Alcantar ◽  
Francis Assadian ◽  
Ming Kuang
Keyword(s):  
Control System ◽  
Hybrid Electric Vehicle ◽  
Rear Axle ◽  
Total Power ◽  
Slip Ratio ◽  
Handling Characteristics ◽  
Wheel Drive ◽  
Torque Vectoring ◽  
Hybrid Electric ◽  
Ratio Optimization

Hybrid electric vehicles (HEV) offer improved fuel efficiency compared to their conventional counterparts at the expense of adding complexity and at times, reduced total power. As a result, HEV generally lack the dynamic performance that customers enjoy. To address this issue, the paper presents a HEV with electric all-wheel drive (eAWD) capabilities via the use of a torque vectoring electric rear axle drive (TVeRAD) unit to power the rear axle. The addition of TVeRAD to a front wheel drive HEV improves the total power output. To further improve the handling characteristics of the vehicle, the TVeRAD unit allows for wheel torque vectoring (TV) at the rear axle. A bond graph model of the proposed drivetrain model is developed and used in cosimulation with carsim. The paper proposes a control system, which utilizes slip ratio optimization to allocate control to each tire. The optimization algorithm is used to obtain optimal slip ratio targets to at each tire such that the targets avoid tire saturation. The Youla parameterization technique is used to develop robust tracking controllers for each axle. The proposed control system is ultimately tested on the drivetrain model with a high fidelity carsim vehicle model for validation. Simulation results show that the control system is able to maximize vehicle longitudinal performance while avoiding tire saturation on a low μ surface. More importantly, the control system is able to track the desired yaw moment request on a high-speed double-lane change (DLC) maneuver through the use of the TVeRAD to improve the handling characteristic of the vehicle.

A controller for safe, convenient operation of LaB6 emitters on electron-beam instruments

1983 ◽  
Vol 41 ◽  
pp. 408-409
Author(s):  
W. J. Abramson ◽  
H. W. Estry ◽  
L. F. Allard
Keyword(s):  
Electron Beam ◽  
Control System ◽  
Thermal Shock ◽  
Appropriate Care ◽  
Electron Guns ◽  
Tungsten Filaments ◽  
Order Of Magnitude ◽  
Main Components

LaB6 emitters are becoming increasingly popular as direct replacements for tungsten filaments in the electron guns of modern electron-beam instruments. These emitters offer order of magnitude increases in beam brightness, and, with appropriate care in operation, a corresponding increase in source lifetime. They are, however, an order of magnitude more expensive, and may be easily damaged (by improper vacuum conditions and thermal shock) during saturation/desaturation operations. These operations typically require several minutes of an operator's attention, which becomes tedious and subject to error, particularly since the emitter must be cooled during sample exchanges to minimize damage from random vacuum excursions. We have designed a control system for LaBg emitters which relieves the operator of the necessity for manually controlling the emitter power, minimizes the danger of accidental improper operation, and makes the use of these emitters routine on multi-user instruments.Figure 1 is a block schematic of the main components of the control system, and Figure 2 shows the control box.

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