Implementation of Different Wavelets in an Auto-Tuning Wavenet PID Controller and Its Application to a DC Motor

Abstract

This paper shows the results obtained experimentally by controlling the speed of a DC motor using different wavelets (Morlet, RASP1, RASP2, RASP3, POLYWOG1, POLYWOG3, POLYWOG4 and Shannon) in an auto-tuning wavenet PID controller. Such controller tunes online the proportional, integral and derivative gains of a classical discrete PID controller, through the identification of the plant using a radial basis neural network with different daughters wavelet activation functions, in cascade with an infinite impulse response filter.

Cite this paper

@article{IslasGomez2011ImplementationOD, title={Implementation of Different Wavelets in an Auto-Tuning Wavenet PID Controller and Its Application to a DC Motor}, author={Oscar Islas-Gomez and Luis Enrique Ramos-Velasco and J. Garcia-Lamont and J. {\'A}lvaro Fern{\'a}ndez and M.A.E. Rivera}, journal={2011 IEEE Electronics, Robotics and Automotive Mechanics Conference}, year={2011}, pages={301-306} }