Adaptive diffuse control for a non-linear helicopter mechanism

Main Article Content

Juan Paúl Ortiz González

Abstract

This paper presents the analyze the adaptive Fuzzy Model Reference Learning Control (FMRLC) is a adaptive fuzzy control method used in nonlinear plants, time-varying and difficult to model them mathematically, which provides a methodology to adapt to the error that occurs with the actual plant and the reference model, the performance is obtained when the error tends to be very small, this adaptation is achieved by moving the centers of the member functions of the knowledge base of fuzzy controller, according to an adaptation algorithm. The fuzzy controller is proposed to solve the control problem is a fuzzy proportional derivative controller (PD). The elimination of steady-state error is thanks to an integral gain FMRLC parallel to the controller.

Keywords

Control por modelo de referencia (FMRLC), controlador difuso, funciones de pertenen- cia, proporcional derivativo (PD), error de estado estable Fuzzy model reference learning control (FMRLC), fuzzy controller, member functions, proportional derivative (PD), steady-state error.

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PDF (Español (España))
Published
Dec 30, 2013
DOI https://doi.org/10.17163/ings.n10.2013.01

Article Details

Issue
No. 10 (2013): July / December
Section
Scientific Paper
Author Biography

Juan Paúl Ortiz González

Ingeniero electrónico, Egresado de la Maestría en Control y Automatización Industrial, Universidad Politécnica Salesiana, sede Cuenca