Model Reference Input Shaping Using Quantitative Feedforward-Feedback Controller

Authors

DOI:

https://doi.org/10.4186/ej.2017.21.1.207 Full article

Abstract

Input shaping convolutes the reference signal with a sequence of impulses, whose amplitudes and timings are designed to produce a shaped reference that avoids exciting lightly-damped modes to reduce residual vibration from a quick movement. The input shaper can be made robust to uncertain mode parameters by adding more impulses, which delays the reference signal, resulting in longer move time. Instead of using more impulses, in this paper, a feedforward-feedback control system, based on the quantitative feedback theory, is placed in the loop to match the closed-loop system, with uncertain plant, to a known reference model. The feedforward-feedback system handles the uncertainty, so the input shaper, placed outside the loop, needs not be robust. The closed-loop system emphasizes on selected frequencies and reduces the cost of feedback. It is shown that the proposed feedforward-feedback system is less conservative than the pure-feedback system. Other sources of vibration such as external disturbances and noise can be handled by the feedforward-feedback system as well. Simulation shows that the proposed technique can withstand large plant uncertainty with fast move time when compared to traditional robust input shaper.

Keywords:

Vibration, quantitative feedback, input shaping, model reference, command shaping, robust input shaper.

Affiliations

  • Withit Chatlatanagulchai Kasetsart University

Corresponding author: Withit Chatlatanagulchai, fengwtc@ku.ac.th

1705 1688

Author Biography

  • Control of Robot and Vibration Laboratory, Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University, 50 Ngam Wong Wan Rd, Lat Yao, Chatuchak, Bangkok 10900, Thailand

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How to Cite

[1]
W. Chatlatanagulchai, “Model Reference Input Shaping Using Quantitative Feedforward-Feedback Controller”, Eng. J., vol. 21, no. 1, pp. 207–220, Jan. 2017, doi: 10.4186/ej.2017.21.1.207.

Citations

Published

2017-01-31

Issue

Section

Modern Engineering Technology