Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control

Shihao Li, Tiejun Zeng (), Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin and Zeyu Yan
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Shihao Li: School of Electrical Engineering, University of South China, Hengyang 421001, China
Tiejun Zeng: School of Electrical Engineering, University of South China, Hengyang 421001, China
Shan Jian: School of Electrical Engineering, University of South China, Hengyang 421001, China
Guiping Cui: School of Electrical Engineering, University of South China, Hengyang 421001, China
Ziwen Che: School of Electrical Engineering, University of South China, Hengyang 421001, China
Genghong Lin: School of Electrical Engineering, University of South China, Hengyang 421001, China
Zeyu Yan: School of Electrical Engineering, University of South China, Hengyang 421001, China

Energies, 2025, vol. 18, issue 14, 1-14

Abstract: In the power system of a polysilicon reduction furnace, especially during the silicon rod growth process, the issue of insufficient temperature control accuracy arises due to the system’s nonlinear and time-varying characteristics. To address this challenge, a dual-loop control system is proposed, combining model-free adaptive control (MFAC) with an improved PID controller. The inner loop utilizes a hysteresis PID controller for dynamic current regulation, ensuring fast and accurate current adjustments. Meanwhile, the outer loop employs a hybrid MFAC-based improved PID algorithm to optimize the temperature tracking performance, achieving precise temperature control even in the presence of system uncertainties. The MFAC component is adaptive and does not require a system model, while the improved PID enhances stability and reduces the response time. Simulation results demonstrate that this hybrid control strategy significantly improves the system’s performance, achieving faster response times, smaller steady-state errors, and notable improvements in the uniformity of polysilicon deposition, which is critical for high-quality silicon rod growth. The proposed system enhances both efficiency and accuracy in industrial applications. Furthermore, applying the dual-loop model to actual industrial products further validated its effectiveness. The experimental results show that the dual-loop model closely approximates the polysilicon production model, confirming that dual-loop control can allow the system to rapidly and accurately reach the set values.

Keywords: polysilicon reduction furnace power system; dual-closed-loop control system; model-free adaptive control (MFAC); improved PID (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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