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Human–Machine Cooperative Control of Intelligent Vehicles for Lane Keeping—Considering Safety of the Intended Func-tionality
- Source :
- Actuators, Volume 10, Issue 9, Actuators, Vol 10, Iss 210, p 210 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- Reasonably foreseeable misuse by persons, as a primary aspect of safety of the intended functionality (SOTIF), has a significant effect on cooperation performance for lane keeping. This paper presents a novel human–machine cooperative control scheme with consideration of SOTIF issues caused by driver error. It is challenging to balance lane keeping performance and driving freedom when driver error occurs. A safety evaluation strategy is proposed for safety supervision, containing assessments of driver error and lane departure risk caused by driver error. A dynamic evaluation model of driver error is designed based on a typical driver model in the loop to deal with the uncertainty and variability of driver behavior. Additionally, an extension model is established for determining the cooperation domain. Then, an authority allocation strategy is proposed to generate a dynamic shared authority and achieve an adequate balance between lane keeping performance and driving freedom. Finally, a model predictive control (MPC)-based controller is designed for calculating optimal steering angle, and a steer-by-wheel (SBW) system is employed as an actuator. Numerical simulation tests are conducted on driver error scenarios based on the CarSim and MATLAB/Simulink software platforms. The simulation results demonstrate the effectiveness of the proposed method.
- Subjects :
- Evaluation strategy
TK1001-1841
Control and Optimization
Computer science
model predictive control
Control (management)
CarSim
Software
Production of electric energy or power. Powerplants. Central stations
Control theory
human–machine cooperative control
Human–machine system
MATLAB
Materials of engineering and construction. Mechanics of materials
computer.programming_language
driver manipulation error
business.industry
safety of the intended func-tionality
safety of the intended functionality
Control engineering
lane keeping
Model predictive control
Control and Systems Engineering
TA401-492
intelligent vehicle
business
steer-by-wire
computer
Subjects
Details
- Language :
- English
- ISSN :
- 20760825
- Database :
- OpenAIRE
- Journal :
- Actuators
- Accession number :
- edsair.doi.dedup.....c5762145375f64a6becc99c307e55af1
- Full Text :
- https://doi.org/10.3390/act10090210