Abstract

This paper described a method to design a limit-cycle suppressor. The dithering technique was used to eliminate self-sustained oscillations or limit cycles. Otherwise, the Dual Input Describing Function (DIDF) method was applied to design dither parameters and analyze the existence of limit cycles. This method was done in a nonlinear system with relay nonlinearity using three standard dither signals, namely sine, triangle, and square waves. The aim of choosing varying dithers was to investigate the effect of dither shapes and the minimum amplitude required for the quenching strategy. First, the possibility and amplitude of limit cycles were determined graphically on the DIDF curve. Then, the minimum amplitude of dither was calculated based on the DIDF analysis. Finally, a simulation was built to verify the analytical work using a digital computer. The simulation results were related to the analysis results. It was evident that the dithering technique is a simple way to suppress limit cycles in a nonlinear system. This paper also presented that dither is an amplitude function, and square-wave dither has the minimum amplitude to quench limit cycles.

Highlights

  • Self-sustained oscillation or limit cycles is an important phenomenon that is encountered in a nonlinear system

  • This paper presented that dither is an amplitude function, and square-wave dither has the minimum amplitude to quench limit cycles

  • It could be seen that the linear part of the system is low pass and assumes that the input of the relay nonlinearity is the sum of a dither signal and fundamental sinusoidal component

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Summary

Introduction

Self-sustained oscillation or limit cycles is an important phenomenon that is encountered in a nonlinear system. Introduced an algorithmic approach to analyze the limit cycle bifurcation. This method is implemented in Maple and is done effectively. By using the multiple switching curve, Yang [2] analyzed the bifurcation of limit cycles for a piecewise near-Hamilton system. This showed that the number of limit cycles is affected by the number of switching curves. Balajewicz and Dowel [3] presented that the Volterra reduced-order model is capable of modeling aerodynamically induced limit-cycle oscillations efficiently and accurately. This analysis method was demonstrated using a NACA 0012 benchmark model

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