Generalizing Hybrid Integrator-Gain Systems Using Fractional Calculus
S. Ali Hosseini, Mohammad Saleh Tavazoei, Luke F. van Eijk and, S. Hassan HosseinNia

TL;DR
This paper introduces a fractional-order generalization of Hybrid Integral Gain Systems (HIGS), enhancing phase control in nonlinear filters, and validates its effectiveness in a PID-controlled double integrator system.
Contribution
It extends HIGS by incorporating fractional calculus, allowing adjustable phase lead, and provides analysis and validation in control system applications.
Findings
Fractional HIGS offers tunable phase lead from 0° to 52°.
The fractional-order filter improves control performance in simulations.
The approach bridges linear and nonlinear control responses.
Abstract
The Hybrid Integral Gain Systems (HIGS) has recently gained a lot of attention in the control of precision motion systems. HIGS is a nonlinear low pass filter with a 52 degree phase advantage over its linear counterpart. This property allows us to avoid the limitations typically associated with linear controllers like the waterbed effect and bode's phase gain relation. In this paper, we generalize HIGS via replacing the involved integer order integrator with a fractional order one to adapt the phase lead from 0 degree (linear low pass filter) to 52 degree (HIGS). To analyze this filter in the frequency domain, the describing function of the proposed filter, i.e., the fractional-order HIGS, is obtained using the Fourier expansion of the output signal. In addition, this generalized HIGS is implemented in a PID structure controlling a double integrator system to validate the performance of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIterative Learning Control Systems · Advanced Control Systems Design · Control Systems in Engineering
