Abstract

Shimmy vibration is a common phenomenon in landing gear systems during either the take-off or landing of aircrafts. The shimmy vibration is undesirable since it can damage the landing gear and discomforts the pilots and passengers. In this work, tensor product model transformation (TPMT) and twisting sliding mode algorithm (TSMA) are utilized to design a robust controller for suppression of the shimmy vibration. The design has two steps. First, the TPMT is applied to determine the first part of the controller to suppress the vibration of the undisturbed system. After that, the TSMA is adopted to obtain another part of the controller to eliminate the remaining vibration caused by disturbances. By integrating these two parts, the proposed controller is obtained. Simulation studies are provided to demonstrate the effectiveness of the controller.

Highlights

  • Shimmy vibration is a common phenomenon in landing gear systems during either the take-off or landing of aircrafts

  • In [5], an active control strategy based on model predictive control and tensor product model transformation is proposed

  • This paper presents a method based the tensor product model transformation (TPMT) and the twisting sliding mode algorithm (TSMA) to design a robust controller to supress shimmy vibration in aircraft landing gears

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Summary

Introduction

Shimmy vibration is a common phenomenon in landing gear systems during either the take-off or landing of aircrafts. It was shown that the proposed active control method can effectively suppress shimmy vibration. Tensor product model transformation (TPMT) is an effective numerical technique based on the recently developed high order singularity value decomposition (HOSVD) [8,9,10]. It transforms a linear parameter varying (LPV) system into a tensor product (TP). This paper presents a method based the TPMT and the TSMA to design a robust controller to supress shimmy vibration in aircraft landing gears.

Mathematical model
Twisting sliding model algorithm
Control design
Simulation results
Conclusions
Full Text
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