The analysis of diagnostics possibilities of the Dual- Drive electric power steering system using diagnostics scanner and computer method

Szczypiński-Sala, Wojciech; Dobaj, Krzysztof

doi:10.1088/1757-899x/148/1/012054

Cited by 1 publication

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An EPS is not only a simple connection of mechanic and electrical parts; in fact, it is a compound system [9][10][11][12] including components such as quality, an inertial element as well as damp and spring. In fact, the model of each part of the system is fully described, when using a full-order modeling method, the coupling and non-linear complex relationship in the system will increase the difficulty of work and affect the accuracy of the model.…”

Section: Physical Model Of Epsmentioning

confidence: 99%

Archives of Electrical Engineering

Naibiao,

Tianfang,

Xuezheng

2019

View full text Add to dashboard Cite

An electric power steering system (EPS) is a new type of steering system developed after a mechanical hydraulic power system (MHPS) and electric-hydraulic power steering system (EHPS). In order to coordinate and solve the portability and sensitivity of the steering system optimally, taking an induction power steering system as the research object, the control algorithm of induction motor control under the EPS is studied in this paper. In order to eliminate the feed-forward performance degradation caused by the change of feed-forward parameters, an on-line identification algorithm of feed-forward parameters is proposed. It can improve the control performance of online identification among three feed-forward parameters in the T-axle motor, it improves on the robustness of feed-forward control performance, at the same time it also gives simulation and test results. This method can improve the control performance of the three feed-forward parameter online identification of the T-axis motor and improve the robustness of feed-forward control performance. At the same time, simulation and test results are given. The simulation results show that the algorithm can significantly improve the response speed and control accuracy of EPS system control.

show abstract

Section: Physical Model Of Epsmentioning

confidence: 99%