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Stability and convergence analysis of intelligent control algorithm based on fuzzy set theory in dynamic environment

Weiqiang Hu

Weiqiang Hu

Zhengzhou Technical CollegeZhengzhou Henan, China
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Hu, Weiqiang
  
26 set 2025
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Pubblicato online: 26 set 2025
Ricevuto: 29 dic 2024
Accettato: 19 apr 2025
DOI: https://doi.org/10.2478/amns-2025-1065
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© 2025 Weiqiang Hu, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Schematic diagram of fuzzy PID controller
Schematic diagram of fuzzy PID controller

Figure 2.

Working principle diagram of molded controller
Working principle diagram of molded controller

Figure 3.

Schematic diagram of fuzzy immune PID controller
Schematic diagram of fuzzy immune PID controller

Figure 4.

X1 trajectories with both internal disturbances
X1 trajectories with both internal disturbances

Figure 5.

X2 trajectories with both internal disturbances
X2 trajectories with both internal disturbances

Figure 6.

X1 trajectories with both external disturbances
X1 trajectories with both external disturbances

Figure 7.

X2 trajectories with both external disturbances
X2 trajectories with both external disturbances

Figure 8.

The X1 output trajectory of internal and external disturbances
The X1 output trajectory of internal and external disturbances

Figure 9.

The X2 output trajectory of internal and external disturbances
The X2 output trajectory of internal and external disturbances

Figure 10.

Environmental output characteristic curves
Environmental output characteristic curves

Figure 11.

The output characteristic curve of MPPT in four kinds of environment
The output characteristic curve of MPPT in four kinds of environment

Figure 12.

The immune algorithm output power in the dynamic environment
The immune algorithm output power in the dynamic environment

Figure 13.

The fuzzy control output power in the dynamic environment
The fuzzy control output power in the dynamic environment

Figure 14.

Optimization algorithm output power in dynamic environment
Optimization algorithm output power in dynamic environment

Figure 15.

Dynamic local contrast diagram
Dynamic local contrast diagram
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