Model-based feedforward for motion systems

Boerlage, Mlg Matthijs; Steinbuch, M Maarten; Lambrechts, PF Paul; Wal, Marc van de

doi:10.1109/cca.2003.1223174

Cited by 60 publications

(33 citation statements)

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“…Related topics not covered in this paper are how to optimize the control parameters in an all-around manner rather than in an independent way and what kind of filters must be used to estimate target speeds and their effects on control stability. Furthermore, it is very challenging to investigate acceleration feedforward 12 to improve performance further.…”

Section: Discussionmentioning

confidence: 99%

Combined line-of-sight error and angular position to generate feedforward control for a charge-coupled device–based tracking loop

et al. 2015

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Abstract. A feedforward control based on data fusion is proposed to enhance closed-loop performance. The target trajectory as the observed value of a Kalman filter is recovered by synthesizing line-of-sight error and angular position from the encoder. A Kalman filter based on a Singer acceleration model is employed to estimate the target velocity. In this control scheme, the control stability is influenced by the bandwidth of the Kalman filter and time misalignment. The transfer function of the Kalman filter in the frequency domain is built for analyzing the closed loop stability, which shows that the Kalman filter is the major factor that affects the control stability. The feedforward control proposed here is verified through simulations and experiments. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Discussionmentioning

confidence: 99%

Combined line-of-sight error and angular position to generate feedforward control for a charge-coupled device–based tracking loop

et al. 2015

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“…5, the final link of the interface is a horizontal one, , and (9) becomes (11) To implement this algorithm, there are two main steps for hysteresis modeling. First, a square mesh covering the triangle T is created.…”

Section: A Numerical Preisach Modelmentioning

confidence: 99%

Feedforward Control of Shape Memory Alloy Actuators Using Fuzzy-Based Inverse Preisach Model

Nguyen

Ahn

2009

IEEE Trans. Contr. Syst. Technol.

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This brief investigates a possible application of the inverse Preisach model in combination with the feedforward and feedback control strategies to control shape memory alloy actuators. In the feedforward control design, a fuzzy-based inverse Preisach model is used to compensate for the hysteresis nonlinearity effect. An extrema input history and a fuzzy inference is utilized to replace the inverse classical Preisach model. This work allows for a reduction in the number of experimental parameters and computation time for the inversion of the classical Preisach model. A proportional-integral-derivative (PID) controller is used as a feedback controller to regulate the error between the desired output and the system output. To demonstrate the effectiveness of the proposed controller, real-time control experiment results are presented.

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“…For feedforward control design, model-based approaches have led to limited performance enhancements due to model uncertainty [4]. This has led to the development of databased approaches in [30], and [13] for the multivariable case, which induce significant performance enhancements.…”

Section: Introductionmentioning

confidence: 99%

Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System

Heertjes

Velden

Oomen

2016

IEEE Trans. Contr. Syst. Technol.

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Model-based feedforward for motion systems

Cited by 60 publications

References 10 publications

Combined line-of-sight error and angular position to generate feedforward control for a charge-coupled device–based tracking loop

Combined line-of-sight error and angular position to generate feedforward control for a charge-coupled device–based tracking loop

Feedforward Control of Shape Memory Alloy Actuators Using Fuzzy-Based Inverse Preisach Model

Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System

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