The Design & Implementation of a Self-adaptive Hybrid Electric Skateboard
DOI:
https://doi.org/10.47611/jsrhs.v11i3.3580Keywords:
Electric Skateboard, Safety, Weight Sensor, Pressure Sensor, Remote ControllerAbstract
This paper proposes a novel electric skateboard control architecture to hybridize the skater's manual operation and electric motor drive. The proposed scheme does not need a handheld remote controller for steering; hence provides better man-machine coordination and enhances the safety of new skaters. For this purpose, a torque-speed control algorithm is designed to compensate for the manual acceleration force and rolling resistance by sensing the motor's speed, acceleration, and torque outputs. The compensation level is configurable according to the skater's comfortableness. The proposed electric control solution also enhances the battery mileage per charging and can be applied to various electric skateboards since it does not require a dedicated weight/pressure sensor to detect if the skater is on or off the board. The control scheme is simulated in MATLAB/Simulink and experimentally verified by a controller based on C2000 DSP that supports sensorless brushless DC(BLDC) motor drive.
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Copyright (c) 2022 Sicheng Tan; Bilal Akin
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