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Fig 1.

Self-balancing robot (SBR) in parking position.

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Fig 1 Expand

Fig 2.

Free body diagram of the self-balancing robot platform (a) left wheel (b) right wheel (c) chassis.

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Fig 3.

Torque diagram about the z-axis (a) vertical reaction forces between wheels and chassis (b) horizontal reaction forces between wheels and chassis, (c) control torques from left and right wheel.

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Fig 3 Expand

Fig 4.

Torque diagram of the horizontal reaction forces between wheels and chassis about the y-axis.

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Fig 5.

Force vector diagram of the horizontal reaction forces between wheels & chassis, and the disturbance force at the COG of the robot.

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Fig 5 Expand

Fig 6.

Force vector diagram of the vertical reaction forces between wheels and chassis, F, Mg acting at the COG.

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Fig 7.

Force vector diagram of the components of F.

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Fig 8.

Force vector diagram representing the components of L for the distance traveled along the x-axis.

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Fig 9.

Force vector diagram representing the components of L for the distance traveled along the y-axis.

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Fig 9 Expand

Fig 10.

Force vector diagram of the chassis representing the yaw angle δ.

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Fig 10 Expand

Fig 11.

Free body diagram of the rider and its contribution to the value of L.

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Fig 12.

Schematic diagram of a direct current motor.

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Fig 13.

Flowchart for the extended Kalman filter algorithm.

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Fig 14.

Block diagram representation of the proposed algorithm for EKF based SMC.

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Fig 14 Expand

Fig 15.

Flow chart for the proposed SBR’s stability control algorithm.

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Fig 15 Expand

Fig 16.

EKF based estimation for the upper limit of (a) rider’s mass, (b) rider’s length.

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Fig 17.

EKF rider’s estimation for lower limit (a) mass (b) length.

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Fig 18.

A comparison of system response for case 1: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Fig 18 Expand

Fig 19.

A comparison of system response for case 2: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Table 1.

Maximum difference between the states of ESMC and SMC for Case 2.

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Table 1 Expand

Fig 20.

A comparison of system response for case 3: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Fig 20 Expand

Table 2.

Maximum difference between the states of ESMC and SMC for Case 3.

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Table 2 Expand

Fig 21.

A comparison of system response for case 4: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Fig 21 Expand

Fig 22.

Comparison of the control effort generated by the controllers to stabilize the pitch angle.

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Fig 22 Expand

Table 3.

Maximum difference between the states of ESMC and SMC for Case 4.

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Table 3 Expand

Fig 23.

A comparison of system response for case 5: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Fig 23 Expand

Table 4.

Maximum difference between the states of ESMC and SMC for Case 5.

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Table 4 Expand

Fig 24.

A comparison of system response for case 6: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Fig 24 Expand

Fig 25.

Comparison of the control effort generated by the controllers to stabilize the pitch angle.

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Fig 25 Expand

Table 5.

Maximum difference between the states of ESMC and SMC for Case 6.

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Table 5 Expand

Fig 26.

A comparison of system response for case 7: (a) Pitch angle, (b) Yaw angle, (c) Distance, (d) Velocity.

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Fig 26 Expand

Fig 27.

Comparison of the control effort generated by the controllers to stabilize the pitch angle.

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Fig 27 Expand

Fig 28.

Changes in L and Jr resulting from an incremental 10% increase in Lr and Mr from their nominal values of 1.8 meters and 80 kg, respectively.

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Fig 29.

The sensitivity of pitch angle resulting from a similar increase in the values of Lr and Mr.

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Table 6.

Maximum difference between the states of ESMC and SMC for Case 7.

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Table 6 Expand

Table 7.

Comparison of the proposed ESMC technique with the earlier work reported in the literature.

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