Loop-shaping for reset control systems: A higher-order sinusoidal-input describing functions approach

Niranjan Saikumar, Kars Heinen, S. Hassan HosseinNia*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)
49 Downloads (Pure)


The ever-growing demands on speed and precision from the precision motion industry have pushed control requirements to reach the limitations of linear control theory. Nonlinear controllers like reset provide a viable alternative since they can be easily integrated into the existing linear controller structure and designed using industry-preferred loop-shaping techniques. However, currently, loop-shaping is achieved using the describing function (DF) and performance analysed using linear control sensitivity functions not applicable for reset control systems, resulting in a significant deviation between expected and practical results. This major bottleneck to the wider adaptation of reset control is overcome in this paper with two important contributions. First, an extension of frequency-domain tools for reset controllers in the form of higher-order sinusoidal-input describing functions (HOSIDFs) is presented, providing greater insight into their behaviour. Second, a novel method that uses the DF and HOSIDFs of the open-loop reset control system for the estimation of the closed-loop sensitivity functions is proposed, establishing for the first time — the relation between open-loop and closed-loop behaviour of reset control systems in the frequency domain. The accuracy of the proposed solution is verified in both simulation and practice on a precision positioning stage and these results are further analysed to obtain insights into the tuning considerations for reset controllers.

Original languageEnglish
Article number104808
Number of pages20
JournalControl Engineering Practice
Publication statusPublished - 2021


  • Higher-order sinusoidal-input describing function (HOSIDF)
  • Mechatronics
  • Motion control
  • Nonlinear control
  • Precision control
  • Reset control
  • Sensitivity functions


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