Curriculum-Based Soft Actor-Critic for Multi-Section R2R Tension Control

Fuente: arXiv
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Hauptverfasser: Li, Shihao, Li, Jiachen, Martin, Christopher, Chen, Zijun, Chen, Dongmei, Li, Wei
Format: Preprint
Veröffentlicht: 2026
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author Li, Shihao
Li, Jiachen
Martin, Christopher
Chen, Zijun
Chen, Dongmei
Li, Wei
author_facet Li, Shihao
Li, Jiachen
Martin, Christopher
Chen, Zijun
Chen, Dongmei
Li, Wei
contents Precise tension control in roll-to-roll (R2R) manufacturing is difficult under varying operating conditions and process uncertainty. This paper presents a curriculum-based Soft Actor-Critic (SAC) controller for multi-section R2R tension control. The policy is trained in three phases with progressively wider reference ranges, from 27 to 33 N to the full operating envelope of 20 to 40 N, so it can generalize across nominal and disturbed conditions. On a three-section R2R benchmark, the learned controller achieves accurate tracking in nominal operation and handles large disturbances, including 20 N to 40 N step changes, with a single policy and no scenario-specific retuning. These results indicate that curriculum-trained SAC is a practical alternative to model-based control when system parameters vary and process uncertainty is significant.
format Preprint
id arxiv_https___arxiv_org_abs_2602_24259
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Curriculum-Based Soft Actor-Critic for Multi-Section R2R Tension Control
Li, Shihao
Li, Jiachen
Martin, Christopher
Chen, Zijun
Chen, Dongmei
Li, Wei
Systems and Control
Precise tension control in roll-to-roll (R2R) manufacturing is difficult under varying operating conditions and process uncertainty. This paper presents a curriculum-based Soft Actor-Critic (SAC) controller for multi-section R2R tension control. The policy is trained in three phases with progressively wider reference ranges, from 27 to 33 N to the full operating envelope of 20 to 40 N, so it can generalize across nominal and disturbed conditions. On a three-section R2R benchmark, the learned controller achieves accurate tracking in nominal operation and handles large disturbances, including 20 N to 40 N step changes, with a single policy and no scenario-specific retuning. These results indicate that curriculum-trained SAC is a practical alternative to model-based control when system parameters vary and process uncertainty is significant.
title Curriculum-Based Soft Actor-Critic for Multi-Section R2R Tension Control
topic Systems and Control
url https://arxiv.org/abs/2602.24259