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Intelligent Application of Frozen Food Process Production in the Digital Era

Yonghua Fan

Yonghua Fan

Department of Economics and Trade, Yongcheng Vocational CollegeYongcheng, China
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Fan, Yonghua
  
26. Sept. 2025
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Online veröffentlicht: 26. Sept. 2025
Eingereicht: 06. Jan. 2025
Akzeptiert: 22. Apr. 2025
DOI: https://doi.org/10.2478/amns-2025-1074
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© 2025 Yonghua Fan, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Flowchart of genetic algorithm
Flowchart of genetic algorithm

Figure 2.

Curves of fractional PID controller with the input of step signal
Curves of fractional PID controller with the input of step signal

Figure 3.

Simulink of fuzzy fractional PID controller with the input of step signal
Simulink of fuzzy fractional PID controller with the input of step signal

Figure 4.

Curves of fuzzy fractional PID controller’s parameters Kp and Kd
Curves of fuzzy fractional PID controller’s parameters Kp and Kd

Figure 5.

Curves of fuzzy fractional PID controller’s parameters Ki and λ,μ
Curves of fuzzy fractional PID controller’s parameters Ki and λ,μ

Figure 6.

Simulink of fuzzy fractional PID controller with the input of step signal
Simulink of fuzzy fractional PID controller with the input of step signal

Figure 7.

Simulink of fuzzy fractional PID controller with the input of step signal
Simulink of fuzzy fractional PID controller with the input of step signal

Figure 8.

Room temperature response curve
Room temperature response curve

Figure 9.

Room temperature response curve
Room temperature response curve

Figure 10.

Room one-day cold load change
Room one-day cold load change

Figure 11.

Room temperature response under different control algorithms
Room temperature response under different control algorithms

Index of fractional PID controller

Controller type Overadjustment Complementary difference Regulating time ts(2) Peak time Maximum deviation
PID 9% 0 905s 490s 0.65℃

Temperature response property analysis

Control algorithm PID Fuzzy This model
Adjust time (s) 1850 600 450
Hypermodulation (MP%) 8.2 4.7 3.9

Index of fuzzy fractional PID controller

Controller type Overadjustment Complementary difference Regulating time ts(2) Peak time Maximum deviation
PID 3% 0 190s 210s 0.15℃
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Englisch
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Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
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