scholarly journals Research on Friction Compensation Control for Electric Power Steering System

2016 ◽  
Vol 2016 ◽  
pp. 1-5
Author(s):  
Shaosong Li ◽  
Jiafei Niu ◽  
Gaojian Cui ◽  
Zhixin Yu ◽  
Ren Sheng
Keyword(s):  
Control Method ◽  
Static Friction ◽  
Steering System ◽  
Friction Torque ◽  
Friction Compensation ◽  
Compensation Control ◽  
Power Steering ◽  
Electric Power Steering System ◽  
Vehicle Test ◽  
Adaptation Method

A novel friction compensation control method is proposed to compensate both the dynamic and static friction torque of steering system. The change of EPS assist torque under fixed amplitude friction compensation torque can cause the diver’s steering feeling fuzzy. That is due to the fact that the friction torque felt by driver varies with EPS assist gain. Therefore, a further modified friction compensation control method is proposed based on EPS assist gain to make the driver have similar friction feeling. Finally, computer simulation and vehicle test are performed to verify the effectiveness of adaptation method in the proposed controller. Test results indicate that the proposed controller improved the driver’s steering performance.

A Comprehensive Mechatronic Modeling and Simulation of Electric Power Steering System

2011 ◽  
Vol 48-49 ◽  
pp. 9-16
Author(s):  
Hamed Rezaei ◽  
Houman Sadjadian
Keyword(s):  
Electric Power ◽  
Control Method ◽  
Cost Savings ◽  
Steering System ◽  
Specific Aspect ◽  
Complete Analysis ◽  
Electric Power Steering ◽  
Power Steering ◽  
Electric Power Steering System ◽  
Hydraulic Power Steering

Electric power steering (EPS) systems are rapidly replacing existing traditional hydraulic power steering systems due to their important advantages such as fuel and cost savings, environmental compatibility and flexibility. Many articles are available in this field in which EPS is viewed only from one specific aspect. Other aspects have been introduced only by brief equations neglecting some main details regarding the important effects of ignored parts. Therefore, it is quite necessary to make a complete analysis of every part of this system with a right combination between them. It makes a comprehensive simulation system for EPS. This matter needs sufficient knowledge in mechanical, electrical and control sciences and how to assemble them with each other properly. Therefore, Mechatronic is the most appropriate branch of science to achieve this goal. In this paper, a complete model of EPS is presented which includes a 7-D.O.F mechanical model of steering system. A Permanent Magnet Synchronous Machine (PMSM) is used to supply the assist torque to steering column. Vector Control Method is utilized for controlling the motor. A PID controller determines the reference assist torque value. The results are presented to estimate the model precision and evaluation of model.

Research on Modeling and Control Characteristics for Electric Power Steering System of Logistics Machine

2013 ◽  
Vol 300-301 ◽  
pp. 1513-1517
Author(s):  
Guo Jin Chen ◽  
Tin Tin Liu ◽  
Jing Ni ◽  
Hui Peng Chen ◽  
Huo Qing Feng
Keyword(s):  
Electric Power ◽  
Physical Simulation ◽  
Control Method ◽  
Steering System ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Modeling And Control ◽  
Power Steering ◽  
Electric Power Steering System ◽  
Set Up

Aiming at the characteristics of the all-electric logistics machines, the paper established the multi-disciplinary mathematical models of the electric power steering system (EPS) and set up a semi-physical simulation platform based on dSPACE for the multi-domain system of EPS. The robust control method was applied to improve the EPS system for the stable actual output of the EPS multi-domain system in the uncertainty. By the real-time semi-physical simulation, the control features of the improved EPS multi-domain system were analyzed so as to increase the robustness and adaptability of the EPS system.

Research on Modeling of EPS with Bond-Graph Theory and Simulating of Steering Maneuverability

2011 ◽  
Vol 464 ◽  
pp. 736-740
Author(s):  
Jian Tang ◽  
Hao Bin Jiang ◽  
Guo Qing Geng ◽  
Nian Wen Xue
Keyword(s):  
Graph Theory ◽  
Control Method ◽  
Graph Model ◽  
Steering System ◽  
Bond Graph ◽  
Simulation Research ◽  
Power Steering ◽  
Electric Power Steering System ◽  
P Type ◽  
Bond Graph Theory

As a tool of modeling the system of multiple energy, bond-graph theory is applied to the modeling for electric power steering system which is electromechanical hybrid. Bond graph models for C type, P type and R type of EPS dynamic system are built respectively. The CH7140 type of car equipped with C type EPS is taken as a prototype and its maneuverable performance is simulated under typical working conditions. A PID control method with time delay transfer function is adopted to imitate the driver’s operation. Steering maneuverability test of the CH7140 car is conducted. The simulation result is consistent with the test result. It is shown that the bond-graph model of EPS is rational, and simulation model derived from bond-graph is effective which can be applied to EPS and full vehicle steering maneuverability simulation research.

Research on Fuzzy Self-Tuning PID Control in Electric Power Steering System

2011 ◽  
Vol 422 ◽  
pp. 184-187
Author(s):  
Wen Chang Lu ◽  
Qing Lu Zhang ◽  
Chen Long ◽  
Ruo Chen Wang
Keyword(s):  
Electric Power ◽  
Pid Control ◽  
Control Method ◽  
Good Control ◽  
Steering System ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Electric Power Steering System ◽  
Self Tuning

In order to further improve control accuracy, response speed, and the steady performance of the electric power steering system, this article based on dynamics model of the electric power steering system, designed a new assistance control strategy, advanced a control policy combining fuzzy control with PID control, and established a simulation model of EPS. This paper simulated the fuzzy self-tuning PID controller by Matlab, and compared with conventional PID control. Simulation results showed that the control method improves the system to control speed and performance, has good control performance.

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