Complete elecric power steering system real-time model in the loop simulator

Ruba, Mircea; Nemeș, Raul; Piglesan, Florin Pop; Hedeşiu, Horia; Marțiș, Claudia

doi:10.1109/elektro.2018.8398354

Cited by 6 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kilian Rehorik [15] et al proposed a zero-and low-speed saliency tracking technique based on square wave signal injection, which is combined with slow sampling current control and modified pulse mode to simplify necessary signal processing. Mircea Ruba [16] et al introduced a real-time model-in-theloop (RTMiL) test platform based on a fieldprogrammable gate array (FPGA) to analyze the EPS of a vehicle and connected two FPGAs to simulate a real test bench. Duo Fu [17] et al proposed a new method for EPS system stability analysis and stability controller module design.…”

Section: Research Status Of Eps Test Benchmentioning

confidence: 99%

Development of an Electric Power Steering Test Bench and Load Simulation

2023

IJOMAM

View full text Add to dashboard Cite

The Electric Power Steering (EPS), as an advanced vehicle steering technology, is widely used in present-day society. The EPS provides great convenience for vehicle driving. More and more vehicles are starting to equip this technical configuration. For testing the performance of the EPS in the laboratory, the study independently develops an EPS test bench for dynamic simulation of vehicle EPS steering load. The EPS test bench detects in the mode of the whole vehicle in the loop. During the test, the vehicle is placed on a fixed platform of the EPS test bench and connected to the tensile component for testing. The EPS test bench provides dynamic simulation of vehicle steering load in a pneumatic way. And the load simulation system of the EPS test bench is simulated. The simulation test shows the feasibility of the EPS test bench. The EPS test bench is tested through the joint real vehicle. The test results shows that the experimental value and the theoretical value are within the error range. And the test results also shows that the EPS test bench is accurate. The EPS test bench provides valuable text for the future development of the EPS load simulation research. Moreover, the study points out the development trend of the EPS test bench.

show abstract

Section: Research Status Of Eps Test Benchmentioning

confidence: 99%

Development of an Electric Power Steering Test Bench and Load Simulation

2023

IJOMAM

View full text Add to dashboard Cite

show abstract

A Survey of FPGA-Based Vision Systems for Autonomous Cars

et al. 2022

View full text Add to dashboard Cite

On the road to making self-driving cars a reality, academic and industrial researchers are working hard to continue to increase safety while meeting technical and regulatory constraints Understanding the surrounding environment is a fundamental task in self-driving cars. It requires combining complex computer vision algorithms. Although state-of-the-art algorithms achieve good accuracy, their implementations often require powerful computing platforms with high power consumption. In some cases, the processing speed does not meet real-time constraints. FPGA platforms are often used to implement a category of latency-critical algorithms that demand maximum performance and energy efficiency. Since self-driving car computer vision functions fall into this category, one could expect to see a wide adoption of FPGAs in autonomous cars. In this paper, we survey the computer vision FPGA-based works from the literature targeting automotive applications over the last decade. Based on the survey, we identify the strengths and weaknesses of FPGAs in this domain and future research opportunities and challenges.INDEX TERMS autonomous car, feature extraction, field programmable gate arrays, image classification, object detection, reconfigurable architectures Self-driving functions can be implemented in several computing platforms such as ASICs, CPUs, DSPs, GPUs, FPGAs, or in heterogeneous platforms composed by any

show abstract