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Counter-Rotating Hoop Stabilizer and SVR Control for Two-Wheels Vehicle Applications

Title
Counter-Rotating Hoop Stabilizer and SVR Control for Two-Wheels Vehicle Applications
Authors
Jung C.Lee Y.Yum H.Kwon C.Jang C.Quagliato L.Lee T.
Ewha Authors
이태용Luca Quagliato
SCOPUS Author ID
이태용scopus; Luca Quagliatoscopus
Issue Date
2023
Journal Title
IEEE Access
ISSN
2169-3536JCR Link
Citation
IEEE Access vol. 11, pp. 14436 - 14447
Keywords
closed-loop controlCustomizable stabilizer systemIMU sensormachine learningsupport vector machine
Publisher
Institute of Electrical and Electronics Engineers Inc.
Indexed
SCIE; SCOPUS scopus
Document Type
Article
Abstract
The matter of stabilization has always attracted attention from both academia and industry. In the case of bikes, kickboards, and scooters, simple stabilizer designs have been explored but are rarely applied in commercial products. In this research, a small-scale, customizable, two-wheels design, is proposed and connected to a retroactive closed-loop control unit for the automatic correction of the destabilization during the motion. The design is based on two counter-rotating wheels, spun into motion at the beginning of the ride and controlled by an Inertial Measurement Unit (IMU) sensor. The two DC motors controlling the spinning of the balancing wheels are adjusted by means of Pulse Width Modulation (PWM) input in the 0 ∼ 255 PWM range. The control is based on an ARDUINO Uno Rev3 microcontroller and on a Support Vector Regression (SVR) model coupled with a Radial Basis Function (RBF) kernel. If an angular deviation outside the user-defined range is detected by the IMU sensor, the trained SVR-RBF model predicts the required PWM value to reestablish equilibrium and sends the signals to one or both DC motors. The proposed architecture was trained and validated in a ±21° range, resulting in a 100% correction accuracy up to a ±23° range, whereas, for greater angles up to ±30°, a drop in performances was observed. In addition to that, when a random acceleration in the ±6°/ s2 range was applied, the proposed design showed a remarkable capability of predicting the correct PWM values, for both reaction wheels, capable of reestablishing equilibrium in the system within an average intervention time equal to 1.28s. © 2013 IEEE.
DOI
10.1109/ACCESS.2023.3243739
Appears in Collections:
공과대학 > 휴먼기계바이오공학과 > Journal papers
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