Maria Gemel B. Palconit, Rizaldo B. Fuentes, Wilen Melsedec O. Narvios, Marife A. Rosales, Argel A. Bandala, Elmer P. Dadios
The tuning process for a magnetic levitation to control the object's gap from the electromagnet is laborious and demands immense effort to obtain an adaptive PID compensator. Hence, this study has schemed an unexplored adaptive feedforward compensator for a 1-DOF maglev system using equation search based on a symbolic regression through an evolutionary algorithm. Results have shown an exceptional accuracy with an r2 of 0.9997, almost zero root mean square error (RMSE) and mean absolute error (MAE). The approach has paved the way for an adaptive nonlinear system requiring a highly accurate model with a baseline dataset containing few modifiable parameters. © 2020 IEEE.
De la Salle University, Gokongwei College of Engineering, Manila City, 1004, Philippines; Cebu Technological University, College of Engineering, Cebu City, 6000, Philippines; University of San Carlos, Department of Electrical and Electronics Engineering, Cebu City, 6000, Philippines
