A New Hybrid MFO-WO Algorithm and Its Application to Design of FOPID/PID Controller for IoT Applications

The article presents a new optimization algorithm called the hybrid MFO-WOA algorithm, which is designed to tackle global optimization problems and optimize FOPID/PID controller designs. The integration of IoT applications for experimental validation is also discussed. Compared to the existing MFO and WOA algorithms, the proposed algorithm demonstrates faster convergence. To evaluate its efficiency, the algorithm is tested on 23 benchmark functions, and statistical parameters are used to describe its performance qualitatively. The results indicate that the proposed algorithm is competitive and can be considered state-of-the-art. The study also includes a comparison of the efficiency of the hybrid MFO-WOA controller with other controller designs for tuning controller parameters. The results of the FOPID/PID controller design are analyzed and compared. The next step involves implementing the PID controller on the ESP32 microcontroller module using the proposed algorithm. An Android-based application using the Blynk framework is developed for monitoring and controlling plants via IoT. The ESP32 microcontroller serves as the IoT gateway, and the controller and interface software are developed using the Arduino IDE. Based on the comparative findings of various case studies, it is evident that the proposed hybrid MFO-WOA algorithm-based controller design outperforms other approaches in terms of performance.