Frequency-domain modelling of reset control systems using an impulsive description

Journal Article (2023)
Author(s)

R.N. Buitenhuis (Student TU Delft)

N. Saikumar (TU Delft - Mechatronic Systems Design)

S.H. Hassan HosseinNia (TU Delft - Mechatronic Systems Design)

Research Group
Mechatronic Systems Design
Copyright
© 2023 R. N. Buitenhuis, N. Saikumar, S. Hassan HosseinNia
DOI related publication
https://doi.org/10.1016/j.nahs.2023.101341
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 R. N. Buitenhuis, N. Saikumar, S. Hassan HosseinNia
Research Group
Mechatronic Systems Design
Volume number
49
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Abstract

The ever-increasing industry desire for improved performance makes linear controller design run into fundamental limitations. Nonlinear control methods such as Reset Control (RC) are needed to overcome these. RC is a promising candidate since, unlike other nonlinear methods, it easily integrates into the industry-preferred PID design framework. Thus far, RC has been analysed in the frequency domain either through describing function analysis or by direct closed-loop numerical computation. The former computes a simplified closed-loop RC response by assuming a sufficient low-pass behaviour. In doing so it ignores all harmonics, which literature has found to cause significant modelling prediction errors. The latter gives a precise solution, but by its direct closed-loop computation does not clearly show how open-loop RC design translates to closed-loop performance. The main contribution of this work is aimed at overcoming these limitations by considering an alternative approach for modelling RC using state-dependent impulse inputs. This permits accurately computing closed-loop RC behaviour starting from the underlying linear system, improving system understanding. A frequency-domain description for closed-loop RC is obtained, which is solved analytically by using several well-defined assumptions. This analytical solution is verified using a simulated high-precision stage, critically examining sources of modelling errors. The accuracy of the proposed method is further substantiated using controllers designed for various specifications.