Bode-based speed Proportional Integral and notch filter tuning of a Permanent Magnet Synchronous Machine driven flexible system
Santiago Ramos Garces, Abdelmajid Ben Yahya, Nick van Oosterwyck,, Dries Jacques, Stijn Derammelaere

TL;DR
This paper introduces a Bode-based method for tuning PI controllers and notch filters in PMSM-driven systems, aiming for easy implementation and improved vibration control compared to traditional methods.
Contribution
It presents a simple, practical tuning approach using Bode plots that can be applied in industrial drives without requiring advanced control expertise.
Findings
The proposed method effectively reduces resonance vibrations.
It outperforms conventional tuning techniques in experimental tests.
The approach is easily implementable in existing industrial systems.
Abstract
A resonance and an antiresonance peak characterize many industrial mechanisms dynamics driven by a Permanent Magnet Synchronous Motor (PMSM). The presence of the resonance peak can lead to vibrations and instability of the system. On that account, advanced methods exist to tune the speed Proportional Integral (PI) controller based on adaptive or fuzzy theory. However, those methods require expertise in control theory and are not available in commercial drives. For that, this paper proposes a Bode-based method for PI parameters selection in combination with a notch filter that can be easily set in any industrial drive. The proposed method is compared with conventional tuning methods in a physical setup.
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 · Control Systems in Engineering · Sensorless Control of Electric Motors
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
