PID Controller Fuzzy Immune Optimization Algorithm

In this document, I will provide a detailed introduction to a highly useful algorithm known as the PID Controller Fuzzy Immune Optimization Algorithm. This sophisticated algorithm enables us to solve complex control problems within the MATLAB programming environment. The program can be executed directly in MATLAB without requiring any additional tools or software dependencies. The key advantage of this algorithm lies in its ability to automatically adjust PID parameters (proportional, integral, and derivative gains) through fuzzy logic combined with immune system optimization principles, resulting in more stable and precise system control. The implementation typically involves defining fuzzy membership functions, establishing immune response rules, and creating optimization loops that iteratively improve controller performance. If you are engaged in control algorithm development and optimization within MATLAB, this algorithm serves as an exceptionally valuable tool for enhancing controller robustness and response characteristics.