Abstract
Steering control for path tracking and navigation are important for the autonomous vehicle. A good steering control system can determine the success of autonomous navigation through designed paths. Comfort and safety for the passenger are the main concerns in developing a controller for an autonomous electric vehicle (AEV). Comfort and the safe autonomous system can be achieving by imitating human intelligence and decision-making ability into the controller. A GPS module couple with a fuzzy controller to follow the designed path. Steering is control by using brushless DC motor with certain gear configuration. In order to achieve better drive performance for the autonomous vehicle, the behaviors of human subjects are studied and investigated. Investigation of steering angle on 3 different paths is designed to study the driving patterns by the human subjects, which are straight, turn right and turn left. The results show satisfactory outcomes as the subject navigates through the designed path with the similar patterns. The average value of steering wheel angle for the straight, right and left path are 13°, −151°, and 237°, respectively. The maximum angle to turning to the left and right are 286° (subject #1) and −226° (subject #1). This paper consists of the construction of a Fuzzy logic controller to control steering wheel and experiments set-up to develop the Fuzzy controller for an autonomous vehicle.
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Halin, H. et al. (2018). Investigation of Steering Wheel Control of an Electric Buggy Car for Designing Fuzzy Controller. In: Hassan, M. (eds) Intelligent Manufacturing & Mechatronics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-8788-2_41
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DOI: https://doi.org/10.1007/978-981-10-8788-2_41
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