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Multi-mode Switching Control of the EPS with Hybrid Power Supply

Bin Tang, Yingqiu Huang, Di Zhang, Haobin Jiang
2019 IEEE Access  
Electric power steering system (EPS) with traditional power supply can't provide enough power for heavy-duty vehicle to turn at low speed.  ...  Besides, the fuzzy supervisory controller was also designed to ensure the stability of the hybrid system during mode switching process.  ...  The electric power steering (EPS) system widely used in passenger cars [6] has variable assist characteristics and can provide steering assist effort as required, which obviously improves the steering  ... 
doi:10.1109/access.2019.2963102 fatcat:zyo6an3bazggbozijvbrtqkxki

A New Control Architecture for Robust Controllers in Rear Electric Traction Passenger HEVs

R. C. B. Sampaio, A. C. Hernandes, V. do Valle Magalhães Fernandes, M. Becker, A. A. G. Siqueira
2012 IEEE Transactions on Vehicular Technology  
Due to this, in this paper, a novel EDS control architecture is proposed to offer a new approach for the traction system that can be used with a great variety of controllers (e.g., classic, artificial  ...  In addition to this, a modified proportional-integral derivative (PID) controller, an AI-based neuro-fuzzy controller, and a robust optimal H ∞ controller were designed and evaluated to observe and evaluate  ...  This work focuses on the design and both simulated and experimental evaluation of an EDS for a rear electric traction HEV that can be used with a great variety of control systems.  ... 
doi:10.1109/tvt.2012.2208486 fatcat:ag2jpke3v5hnticxebe6v4j6li

Worked Example of X-by-Wire Technology in Electric Vehicle: Braking and Steering [chapter]

Ameer Sider, Mohd Khair Hassan
2019 New Trends in Electrical Vehicle Powertrains  
Electric power-assisted steering (EPAS) system is a new power steering technology for vehicles especially for electric vehicles (EV).  ...  Therefore, this study presents the design of fuzzy-PID controller for brake-by-wire (BBW) to overcome these undesired effects and also to derive optimal brake force that assists to perform braking operation  ...  than traditional hydraulic power-assisted steering (HPAS) system, the fact of EPAS is to supply steering assistance to the driver utilizing an electrically controlled electric motor.  ... 
doi:10.5772/intechopen.76852 fatcat:dirxcdjmuzahtnry427gicquua

Neural-Fuzzy-Based Adaptive Sliding Mode Automatic Steering Control of Vision-based Unmanned Electric Vehicles

Jinghua Guo, Keqiang Li, Jingjing Fan, Yugong Luo, Jingyao Wang
2021 Chinese Journal of Mechanical Engineering  
In this novel automatic steering control system of vehicles, a neural network system is utilized for approximating the switching control gain of variable structure control law, and a fuzzy inference system  ...  The stability of closed-loop neural-fuzzy-based adaptive sliding mode automatic steering control system is proven using the Lyapunov theory.  ...  Acknowledgements Authors express gratefulness for helpful comments from reviewer to improve this manuscript.  ... 
doi:10.1186/s10033-021-00597-w fatcat:xwvy6deye5bnzasfsz5h772jqq

Experimental Study on Antivibration Control of Electrical Power Steering Systems

Zhaojian Wang, Hamid Reza Karimi
2014 Journal of Applied Mathematics  
We focus on the antivibration controller design problem for electrical power steering (EPS) systems. The EPS system has significant advantages over the traditional hydraulic steering system.  ...  For the implementation study, we also present the motor driver design and the software design which is used to monitor the sensors and the control signal.  ...  In the work in [6] , the authors studied the controller design problem for EPS system using T-S fuzzy model approach.  ... 
doi:10.1155/2014/450427 fatcat:k2jdadvr4bb4jpem3j2srewhwi

Design of an unknown input observer to enhance driver experience of electric power steering systems

M. Reichhartinger, S. K. Spurgeon, M. Weyrer
2016 2016 European Control Conference (ECC)  
Electric power steering (EPS) systems assist the driver during manoeuvres by applying an additional steering torque generated by an electric motor.  ...  Although there are many advantages for electric actuated steering systems including fuel efficiency, they are known to deteriorate the feel of the steering as experienced by the driver.  ...  Reichhartinger would like to thank the Institute of Automation and Control and Graz University of Technology for funding his visit to the University of Kent.  ... 
doi:10.1109/ecc.2016.7810297 dblp:conf/eucc/ReichhartingerS16 fatcat:iw3yw62anzeo5ltvpi4dzmvrnm

A review of fuzzy methods in automotive engineering applications

Valentin Ivanov
2015 European Transport Research Review  
A special attention is given to fuzzy approaches used in the following domains of automotive engineering: vehicle dynamics control systems, driver and driving environment identification, ride comfort control  ...  control systems.  ...  A possibility to overcome various nonlinear models and to use intuitive logical rules makes fuzzy control and fuzzy identification procedures useful tools by rapid system prototyping and on early design  ... 
doi:10.1007/s12544-015-0179-z fatcat:akvjdfcpj5fuffdj2gdoiyaq6u

Coupling Control Strategy and Experiments for Motion Mode Switching of a Novel Electric Chassis

Qu, Guo, Zhang, Song, Li
2020 Applied Sciences  
Second, a fuzzy proportional integral derivative (PID) controller with self-tuning parameters was designed to reduce the CE during MMS.  ...  A flexible chassis (FC) is a type of electric vehicle driven by in-wheel motors that can be used in narrow conditions in agricultural facilities.  ...  To achieve this, a CE model is derived based on coupling control and Lyapunov stability theory. A fuzzy PID controller is then designed for CE control.  ... 
doi:10.3390/app10020701 fatcat:opsmlaikbfcy5j7zsqimyxzh2q

Time-delayed Control for Automated Steering Wheel Tracking of Electric Power Steering Systems

Jaemin Baek, Changmook Kang
2020 IEEE Access  
We present a time-delayed control (TDC) approach that applies it to the electric power steering (EPS) system for the first time.  ...  INDEX TERMS Time-delayed control, steering control, electric power steering system.  ...  Given that these fuzzy-based control approaches are based on membership functions which are designed into driving habits of the drivers, they do not require the information of the EPS system model.  ... 
doi:10.1109/access.2020.2990970 fatcat:wmth4khlcnbifpkegmzi2tx57e

Fuzzy PID Supervision for an Automotive Application: Design and Implementation [chapter]

R. Sehab, B. Barbedette
2012 PID Controller Design Approaches - Theory, Tuning and Application to Frontier Areas  
This approach is very useful for systems without models. Fig. 5.  ...  The proposed approach In the proposed approach (Sehab, 2007) , Fuzzy PID Supervision is designed for systems with models.  ...  DC motor models The DC motor model is valid for feedback and road motors of the Steer by Wire system given by figure 1.The electrical equation is given by:  ... 
doi:10.5772/35857 fatcat:ojgpk52p4zaetcjy2avxymarn4

Sensorless Fuzzy Direct Torque Control for High Performance Electric Vehicle with Four In-Wheel Motors

M'hamed Sekour, Kada Hartani, Azeddine Draou, Ahmed Allali
2013 Journal of Electrical Engineering and Technology  
This paper presents a new approach to estimate the speed of in-wheel electrical vehicles based on Model Reference Adaptive System (MRAS).  ...  This paper describes a control scheme of speed sensorless fuzzy direct torque control (FDTC) of permanent magnet synchronous motor for electric vehicle (EV).  ...  The conventional electric vehicle has a concentrated power system, which, as illustrated in Fig. 1 , has only motor and has to engage a differential to distribute the driving power for the left and the  ... 
doi:10.5370/jeet.2013.8.3.530 fatcat:bmpt2isa2raxjkf6oedieltasq

Comparative Study of PI and Fuzzy Logic Based Speed Controllers of an EV with Four In-Wheel Induction Motors Drive

Abdelkader Ghezouani, Brahim Gasbaoui, Nouria Nair, Othmane Abdelkhalek, Jemal Ghouili
2018 Journal of Automation, Mobile Robotics & Intelligent Systems  
techniques are presented and compared for controlling the electric vehicle speed: the first one is based on a classical PI controller while the second one is based on a fuzzy logic controller (FLC).  ...  This paper presents the modeling, control and simulation of an electric vehicle with four in-wheel 15 kw induction motors drive 4WDEV controlled by a direct torque control DTC strategy, where two control  ...  ACknOWLEDgEMEnT This work was supported by the Laboratory of Smart Grids & Renewable Energies (S.G.R.E).Faculty of Technology, Department of Electrical Engineering, and Bechar University, Algeria.  ... 
doi:10.14313/jamris_3-2018/17 fatcat:62e2754vkrbupft7ivlztuinnm

Direct Yaw-Moment Control of an In-Wheel-Motored Electric Vehicle Based on Body Slip Angle Fuzzy Observer

Cong Geng, L. Mostefai, M. Denai, Y. Hori
2009 IEEE transactions on industrial electronics (1982. Print)  
T-S fuzzy models were employed for approximating the nonlinear vehicle dynamics with linear local models.  ...  Desired Model and State Deviation Equation As shown in Fig. 1 , the control scheme is applied for DYC system design by using the model matching control method.  ...  His main fields of interest are intelligent control design; intelligent fault detection in power systems; advanced control of power devices; modeling and control of electric power systems; modeling, simulation  ... 
doi:10.1109/tie.2009.2013737 fatcat:4f3jaqt4rvdzrnwlx4z77hgske

Estimation of Longitudinal Force and Sideslip Angle for Intelligent Four-Wheel Independent Drive Electric Vehicles by Observer Iteration and Information Fusion

Te Chen, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, Xiaoqiang Sun
2018 Sensors  
for a posteriori estimation with higher accuracy, and a fuzzy weight controller is used to enhance the adaptive ability of observer system.  ...  measurements, the extended Kalman filter (EKF) is designed for a posteriori estimation with higher accuracy, the fuzzy weight which is changed with the variation of steering wheel angle and vehicle speed  ...  The fuzzy controller in this paper is designed with two inputs, namely vehicle velocity vx and steering angle of front wheels δ, and one output namely fuzzy weight coefficient λ.  ... 
doi:10.3390/s18041268 pmid:29677124 pmcid:PMC5948657 fatcat:osv3wtsp4rc3taai7mbtdvf37i

A Fuzzy Logic Direct Yaw-Moment Control System for All-Wheel-Drive Electric Vehicles

Farzad Tahami, Shahrokh Farhangi, Reza Kazemi
2004 Vehicle System Dynamics  
In this paper a Fuzzy logic driver-assist stability system for all-wheel-drive electric vehicles based on a yaw reference DYC is introduced.  ...  The proposed control system is an effective and easy to implement method to enhance the stability of all-wheeldrive electric vehicles.  ...  The electric drive system can be used in battery powered electric vehicles, both autonomous and grid connected hybrid electric vehicles and fuel cell vehicles.  ... 
doi:10.1076/vesd.41.3.203.26510 fatcat:7sjejtkmf5cbjjh46v74dvczja
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