Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling
Gustavo Aquino, José de Jesús Rubio, Jaime Pacheco, G. Gutiérrez, Genaro Ochoa, Ricardo Balcázar, David Ricardo Cruz, Enrique García, Juan Francisco Novoa, Alejandro Zacarías
Abstract
In previous investigations, the nonlinear hypothesis use the linear bounded maps. Nonlinear hypothesis are described as the combination of the first order terms, and after of the mentioned combination, one bounded map is applied to alter the result. This document proposes two nonlinear hypothesis which use different structures instead of using the linear bounded maps. They are termed as novel nonlinear hypothesis and second order nonlinear hypothesis and their goal is to improve the second order processes modeling. The proposed nonlinear hypothesis are described as the combination of the first order and second order terms. Since the delta parallel robot is a second order process, it is an excellent platform to prove the effectiveness of the two proposed hypothesis.