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Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task
- Source :
- Acta Universitatis Sapientiae, Electrical and Mechanical Engineering. 12:35-45
- Publication Year :
- 2020
- Publisher :
- Walter de Gruyter GmbH, 2020.
-
Abstract
- Despite the advanced technologies used in recent years, the lack of robust systems still exists. The automated steering system is a critical and complex task in the domain of the autonomous vehicle’s applications. This paper is a part of project that deals with model-based control strategy as one of the most common control strategies. The main objective is to present the implementations of Model Predictive Control (MPC) for an autonomous vehicle steering system in regards to trajectory tracking application. The obtained results are analysed and the efficiency of the use of MPC controller were discussed based on its behaviour and performance.
- Subjects :
- 050210 logistics & transportation
0209 industrial biotechnology
business.industry
Computer science
05 social sciences
Path tracking
Information technology
Control engineering
02 engineering and technology
General Medicine
Model based control
Energy engineering
Task (project management)
020901 industrial engineering & automation
0502 economics and business
business
Subjects
Details
- ISSN :
- 20668910
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
- Accession number :
- edsair.doi...........9bf7c0e771fdcbc6e373b7838ab052c7
- Full Text :
- https://doi.org/10.2478/auseme-2020-0003