基于智能优化的模糊PID冻干机真空控制系统的研究

doi:10.13385/j.cnki.vacuum.2026.02.13

Abstract

Abstract: Due to the nonlinear and time-varying characteristics of traditional freeze-drying machine vacuum systems, conventional PID control algorithms cannot meet the requirements for high-precision vacuum control. To improve the vacuum control performance of the freeze-drying machine, its vacuum system was optimized and designed using an intelligent optimized fuzzy PID controller. The input domain of the fuzzy controller was optimized and adjusted through the ABC algorithm. Meanwhile, the output of the controller was corrected based on the characteristics of the valve-controlled vacuum, effectively suppressing the nonlinear and time-varying effects of the system and improving the dynamic performance of the vacuum control. The actual testing data show that the vacuum control performance of the freeze-drying machine with the new system is better than that of conventional PID and fuzzy PID control systems in terms of adjustment time, overshoot, and steady-state error. This intelligent vacuum control system can effectively improve the control capability of the vacuum inside the freeze-drying machine during the freeze-drying process, thereby ensuring the accurate and smooth completion of the freeze-drying process.

Key words: freeze dry, vacuum control, fuzzy PID, ABC algorithm

CLC Number: TP273+.4;S226.6

ZOU Hongwu, HE Chengjie, GUO Chenghu, JU Peng. Research on Fuzzy PID Freeze Dryer Vacuum Control System Based on Intelligent Optimization[J].VACUUM, 2026, 63(2): 90-96.

References

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Research on Fuzzy PID Freeze Dryer Vacuum Control System Based on Intelligent Optimization

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