Friction Compensation Control Method Research of Electric Power Steering System

Author(s):  
Huan Liu ◽  
Guoying Chen ◽  
Changfu Zong
2013 ◽  
Vol 300-301 ◽  
pp. 1513-1517
Author(s):  
Guo Jin Chen ◽  
Tin Tin Liu ◽  
Jing Ni ◽  
Hui Peng Chen ◽  
Huo Qing Feng

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.


2011 ◽  
Vol 422 ◽  
pp. 184-187
Author(s):  
Wen Chang Lu ◽  
Qing Lu Zhang ◽  
Chen Long ◽  
Ruo Chen Wang

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.


Author(s):  
Manel Allous ◽  
Kais Mrabet ◽  
Nadia Zanzouri

Electric power steering is an advanced steering system that uses an electric motor to improve steering comfort of the car. As a result, the failures in the electric motor can lead to additional fault modes and cause damage of the electric power steering system performance. Hence, to ensure the stability of this latter, the present paper proposes a new method to reconfigure the fault control. A novelty approach of fast fault estimation based on adaptive observer is also proposed. Moreover, to guarantee optimal and fast control, a fault-tolerant control based on inverse bond graph modeling is designed to construct the behavior of the nominal system. The simulation and the experimental results on a real electric power steering system reveal the importance of the control strategy and show that the proposed approach works as intended.


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