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Control of a Segway with unknown control coefficient and input constraint
Author(s) -
Bong Seok Park
Publication year - 2016
Publication title -
international journal of fuzzy logic and intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 9
eISSN - 2093-744X
pISSN - 1598-2645
DOI - 10.5391/ijfis.2016.16.2.140
Subject(s) - control theory (sociology) , simple (philosophy) , controller (irrigation) , constraint (computer aided design) , lyapunov function , stability (learning theory) , function (biology) , mathematics , variable (mathematics) , computer science , saturation (graph theory) , control (management) , nonlinear system , artificial intelligence , mathematical analysis , philosophy , physics , geometry , epistemology , quantum mechanics , machine learning , evolutionary biology , combinatorics , agronomy , biology
This paper proposes a control method of the Segway with unknown control coefficient and input saturation. To design a simple controller for the Segway with the model uncertainty, the prescribed performance function is used. Furthermore, an auxiliary variable is introduced to deal with unknown time-varying control coefficient and input saturation problem. Due to the auxiliary variable, function approximators are not used in this paper although all model uncertainties are unknown. Thus, the controller can be simple. From the Lyapunov stability theory, it is proved that all errors of the proposed control system remain within the prescribed performance bounds. Finally, the simulation results are presented to demonstrate the performance of the proposed scheme.

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