MPC-based Haptic Shared Steering System

MPC-based Haptic Shared Steering System: A Driver Modeling Approach for Symbiotic Driving

Rios Lazcano, A.M. (Student TU Delft)
Niu, Tenghao (University of Cambridge)
Carrera Akutain, Xabier (Toyota Motor Europe)
Cole, David (University of Cambridge)
Shyrokau, B. (TU Delft Intelligent Vehicles)

2021

Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this study, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee continuous guidance during the steering task. The research contribution is in the integration of an extensive prediction model covering cognitive behaviour, neuromuscular dynamics, and the vehicle-steering dynamics, within the MPC-based haptic controller to enhance collaboration. The driver model is composed of a preview cognitive strategy based on a Linear-Quadratic-Gaussian, sensory organs, and neuromuscular dynamics, including muscle co-activation and reflex action. Moreover, an adaptive costfunction algorithm enables dynamic allocation of the control authority. Experiments were performed in a fixed-base driving simulator at Toyota Motor Europe involving 19 participants to evaluate the proposed controller with two different cost functions against a commercial Lane Keeping Assist (LKA) system as an industry benchmark. The results demonstrate the proposed controller fosters symbiotic driving and reduces driver-vehicle conflicts with respect to a state-of-the-art commercial system, both subjectively and objectively, while still improving path tracking performance. Summarising, this study tackles the need to blend human and ADAS control, demonstrating the validity of the proposed strategy.

Collaboration
Collaborative driving
Driver modelling
Haptic shared control
Human-machine interaction
Model predictive control
Neuromuscular
Task analysis
Torque
Vehicle dynamics
Vehicles
Wheels

http://resolver.tudelft.nl/uuid:130b8ff6-54f6-43ed-8d3a-f49e627f4f66

https://doi.org/10.1109/TMECH.2021.3063902

1083-4435

IEEE - ASME Transactions on Mechatronics, 26 (3), 1201-1211

Institutional Repository

journal article

© 2021 A.M. Rios Lazcano, Tenghao Niu, Xabier Carrera Akutain, David Cole, B. Shyrokau