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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2024 Issue 4, Pages 61–80 (Mi at16236)

Nonlinear Systems

An extension of the feedback linearization method in the control problem of an inverted pendulum on a wheel

L. B. Rapoporta, A. A. Generalovb, B. A. Barulinc, M. D. Gorbachevc

a Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
b Topcon Technology Finland
c V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow

Abstract: This paper continues previous studies on designing stabilizing control laws for a mechanical system consisting of a wheel and a pendulum suspended on its axis. The control objective is to simultaneously stabilize the vertical position of the pendulum and a given position of the wheel. The difficulty of this problem is that the same control is used to achieve two targets, i.e., stabilize the pendulum angle and the wheel rotation angle. Previously, the output feedback linearization method was applied to this problem. The sum of the pendulum angle and the wheel rotation angle was taken as the output. For the closed loop system to be not only asymptotically stable in the output but also to have asymptotically stable zero dynamics, a dissipative term was added to the output-stabilizing control law. Below, a two-parameter modification of this law is described. Along with the dissipative term, we introduce a positive factor. The more general parameterization allows stabilizing this system in the cases where the control law proposed previously appeared ineffective. The properties of the new control law are investigated, and the attraction domain is estimated. The estimation procedure is reduced to checking the feasibility of linear matrix inequalities.

Keywords: asymptotic stabilization, inverted pendulum, estimation of the attraction domain, linear matrix inequalities.


Received: 27.11.2023
Revised: 11.02.2024
Accepted: 04.03.2024

DOI: 10.31857/S0005231024040043


 English version:
Automation and Remote Control, 2024, 85:4, 362–376


© Steklov Math. Inst. of RAS, 2026