2015
DOI: 10.1002/eej.22581
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Posture Control for Personal Mobility Robot Using Feedback Compensation with Unstable Pole

Abstract: SUMMARYThis paper presents a novel posture control approach using feedback compensation with an unstable pole. For a narrow and small personal mobility robot (PMR), this is needed in order to control its posture for achieving quick turning and high acceleration. However, in the conventional control approach that uses the posture angle as a controlled variable, the zero moment point (ZMP) does not settle to the desired point in the following cases: an unknown disturbance force given to the PMR, a fluctuation in… Show more

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Cited by 2 publications
(3 citation statements)
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“…Here, c 1 , c 2 , c 3 , c 4 , c 5 , and c 6 are as follows: Thus, if the predictive model in Eqs. (21) and (23) is used, then the predicted value for the state at the N p step can be represented using an affine function of the input signal Δu[k] at the N u step.…”
Section: State Equationsmentioning
confidence: 99%
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“…Here, c 1 , c 2 , c 3 , c 4 , c 5 , and c 6 are as follows: Thus, if the predictive model in Eqs. (21) and (23) is used, then the predicted value for the state at the N p step can be represented using an affine function of the input signal Δu[k] at the N u step.…”
Section: State Equationsmentioning
confidence: 99%
“…Thus, we have developed the robot in Fig. 1 to follow a person and carry his/her belongings [4][5][6][7][8]. Walking for 30 min several times per week is reported to contribute to maintaining health and improving quality of life [9].…”
Section: Introductionmentioning
confidence: 99%
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