Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator

Masahiro Mae; M.J. van Haren; Wataru Ohnishi; Tom A.E. Oomen; Hiroshi Fujimoto

Abstract

Increasing performance requirements result in demanding intersample performance improvement in industrial motion systems while there is a limitation of sampling time. The aim of this study is to improve intersample performance by using a discrete-time linearly parameterized feedforward while maintaining on-sample performance in high-precision mechatronic systems. The developed approach is parameterized with a sampled-data differentiator using single-rate and multirate inversion. The resulting framework improves both on-sample and intersample behavior compared to using a conventional backward differentiator. The performance improvement is demonstrated in a benchmark motion system.

Original language	English
Number of pages	1
Publication status	Published - 2022
Event	Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022) - University of California, Los Angeles, United States Duration: 7 Sept 2022 → 9 Sept 2022

Conference

Conference	Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022)
Country/Territory	United States
City	Los Angeles
Period	7/09/22 → 9/09/22

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Mae, M., van Haren, M. J., Ohnishi, W., Oomen, T. A. E., & Fujimoto, H. (2022). Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator. Abstract from Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022), Los Angeles, California, United States.

Mae, Masahiro ; van Haren, M.J. ; Ohnishi, Wataru et al. / Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator. Abstract from Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022), Los Angeles, California, United States.1 p.

@conference{29059e5b81cc4fdc8071c026eeeb131d,

title = "Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator",

abstract = "Increasing performance requirements result in demanding intersample performance improvement in industrial motion systems while there is a limitation of sampling time. The aim of this study is to improve intersample performance by using a discrete-time linearly parameterized feedforward while maintaining on-sample performance in high-precision mechatronic systems. The developed approach is parameterized with a sampled-data differentiator using single-rate and multirate inversion. The resulting framework improves both on-sample and intersample behavior compared to using a conventional backward differentiator. The performance improvement is demonstrated in a benchmark motion system. ",

author = "Masahiro Mae and \{van Haren\}, M.J. and Wataru Ohnishi and Oomen, \{Tom A.E.\} and Hiroshi Fujimoto",

year = "2022",

language = "English",

note = "Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022) ; Conference date: 07-09-2022 Through 09-09-2022",

}

Mae, M, van Haren, MJ, Ohnishi, W, Oomen, TAE & Fujimoto, H 2022, 'Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator', Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022), Los Angeles, United States, 7/09/22 - 9/09/22.

Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator. / Mae, Masahiro; van Haren, M.J.; Ohnishi, Wataru et al.
2022. Abstract from Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022), Los Angeles, California, United States.

Research output: Contribution to conference › Abstract › Academic

TY - CONF

T1 - Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator

AU - Mae, Masahiro

AU - van Haren, M.J.

AU - Ohnishi, Wataru

AU - Oomen, Tom A.E.

AU - Fujimoto, Hiroshi

PY - 2022

Y1 - 2022

N2 - Increasing performance requirements result in demanding intersample performance improvement in industrial motion systems while there is a limitation of sampling time. The aim of this study is to improve intersample performance by using a discrete-time linearly parameterized feedforward while maintaining on-sample performance in high-precision mechatronic systems. The developed approach is parameterized with a sampled-data differentiator using single-rate and multirate inversion. The resulting framework improves both on-sample and intersample behavior compared to using a conventional backward differentiator. The performance improvement is demonstrated in a benchmark motion system.

AB - Increasing performance requirements result in demanding intersample performance improvement in industrial motion systems while there is a limitation of sampling time. The aim of this study is to improve intersample performance by using a discrete-time linearly parameterized feedforward while maintaining on-sample performance in high-precision mechatronic systems. The developed approach is parameterized with a sampled-data differentiator using single-rate and multirate inversion. The resulting framework improves both on-sample and intersample behavior compared to using a conventional backward differentiator. The performance improvement is demonstrated in a benchmark motion system.

M3 - Abstract

T2 - Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022)

Y2 - 7 September 2022 through 9 September 2022

ER -

Mae M, van Haren MJ, Ohnishi W, Oomen TAE, Fujimoto H. Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator. 2022. Abstract from Joint 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) and 16th International Conference on Motion and Vibration Control (MoViC 2022), Los Angeles, California, United States.

Improving intersample performance with linearly parameterized feedforward using sampled-data differentiator

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