Conditions of Parametric Resonance in Periodically Time-Variant Systems With Distributed Parameters

Author:

Lee Yong-Kwan1,Chechurin Leonid S.2

Affiliation:

1. Central R&D Institute, SAMSUNG Electro-Mechanics Co., Maetan 3-Dong, Suwon, Gyungi-Do 443-743, Republic of Korea

2. Department of Innovation Theory, St. Petersburg State Polytechnic University, 195251 Polytechnicheskaya str., 29 St. Petersburg Russia

Abstract

Theoretical analysis of the stability problem for the control systems with distributed parameters shall be given. The approach to the analysis of such systems can be composed of two parts. First, the distributed parameter element is modeled by a frequency response function. Second, approximate conditions of parametric resonance are derived by a method of stationarization (describing functions of time-variant elements). The approach is illustrated by two examples. One is a robot-manipulator arm (distributed mechanical parameter system) controlled by a controller with a modulator/demodulator cascade (time-varying element). Another is an electromechanical transformer that consists of a constant current motor and a synchronous generator. Inductance between stator windings and the rotor of the synchronous generator serves as a periodical time-varying parameter, and a long electrical line plays the role of an element with distributed parameters. In both examples, dangerous (in terms of the first parametric resonance) regions for time-varying parameter are obtained theoretically and compared with simulation experiment.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference17 articles.

1. Asymptotic Methods in the Theory of Non‐Linear Oscillations

2. Fardad, M. , 2006, “The Analysis of Distributed Spatially Periodic Systems,” University of California at Santa Barbara, Ph.D. thesis, Santa Barbara, CA.

3. Parametric Resonance of a Two-Dimensional Electron Gas Under Bichromatic Irradiation;Joas;Phys. Rev. B

4. Stochastic Parametric Resonance in Shear Flows;Poulin;Nonlinear Process. Geophys.

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