TY - JOUR
T1 - Counter-Rotating Hoop Stabilizer and SVR Control for Two-Wheels Vehicle Applications
AU - Jung, Chanin
AU - Lee, Yulhwa
AU - Yum, Haeun
AU - Kwon, Chani
AU - Jang, Changsoon
AU - Quagliato, Luca
AU - Lee, Taeyong
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Customizable stabilizer system
KW - IMU sensor
KW - closed-loop control
KW - machine learning
KW - support vector machine
UR - http://www.scopus.com/inward/record.url?scp=85148937491&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2023.3243739
DO - 10.1109/ACCESS.2023.3243739
M3 - Article
AN - SCOPUS:85148937491
SN - 2169-3536
VL - 11
SP - 14436
EP - 14447
JO - IEEE Access
JF - IEEE Access
ER -