A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle

Authors:
Erfu Yang;Amir Hussain;Kevin Gurney
Affiliations:
Division of Computing Science and Mathematics, University of Stirling, Stirling, UK;Division of Computing Science and Mathematics, University of Stirling, Stirling, UK;Department of Psychology, University of Sheffield, Sheffield, UK
Venue:
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
Year:
2013

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Abstract

This paper presents a new brain-inspired, switching control approach for a car-like autonomous vehicle using a basal ganglia (BG) model as an action selection mechanism. The problem domain has challenging nonholonomic and state constraints which imply no single stabilizing controller solution is possible by time-invariant smooth state feedback. To allow the BG make the correct controller selection from a family of candidate motion controllers, a fuzzy logic-based salience model using reference and tracking error only is developed, and applied in a soft switching control mechanism. To demonstrate the effectiveness of our approach for motion tracking control, we show effective control for a circular trajectory tracking application. The performance and advantages of the proposed fuzzy salience model and the BG-based soft switching control scheme against a traditional single control method are compared.