Remote control of an omnidirectional mobile robot with time-varying delay and noise attenuation
This paper proposes a dead-time compensation control based on the filtered Smith predictor with an integral Linear Quadratic Regulator to remotely control an omnidirectional mobile robot subject to time-varying delay, sampling jitter and measurement noise. The filtered Smith predictor is used to pre...
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Published in | Mechatronics (Oxford) Vol. 52; pp. 7 - 21 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.06.2018
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Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes a dead-time compensation control based on the filtered Smith predictor with an integral Linear Quadratic Regulator to remotely control an omnidirectional mobile robot subject to time-varying delay, sampling jitter and measurement noise. The filtered Smith predictor is used to preserve implementation simplicity, attenuate measurement noise and mitigate the performance degradation caused by the time-varying delay and sampling jitter. Implementation simplicity is achieved since the trade-off between robustness and closed-loop performance is handled from experimental tuning approach. Theoretical analysis is provided to show the benefits of the proposed compensation strategy. A set of experimental results with and without network-induced time-varying delay corroborate this analysis. Moreover, the relationship between measurement noise and the undesired time-varying delay effect is theoretically established to emphasize the benefits of the proposed approach. Practical results are presented in order to show that the proposed LQR/filtered Smith predictor strategy can be used in a NCS configuration providing good results with respect to trajectory tracking purposes despite its implementation simplicity. |
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ISSN: | 0957-4158 1873-4006 |
DOI: | 10.1016/j.mechatronics.2018.04.003 |