Abstract

For dynamic stiffness enhancement, this paper presents a new method for synthesizing repetitive controllers capable of rejecting periodic vibration disturbance. Dynamic stiffness of the control system is analyzed. Direct and quadrature dynamic stiffness are defined for the repetitive controllers’ design. A trade-off method between the determinations of the controller’s parameters is necessary such that both the rejecting performance and stability can be achieved simultaneously. An illustrated example of a twin linear drive system is given to verify the performance of the proposed control design. The control performance of the present method is evaluated in the experimental disturbance rejecting control system, where the real-time control algorithms are implemented using a floating-point digital signal processor. Both computer simulation and experimental results are presented to illustrate the effectiveness of the proposed repetitive controller design.

Highlights

  • Repetitive control [1] is one of the specific control schemes in which its objective is to reduce the steady state errors with the periodic inputs

  • This paper presents a new method for synthesizing repetitive controllers applied to anti-vibration system for rejecting periodic disturbance

  • The control performance of the present method is evaluated in the experimental disturbance rejecting control system, where the real-time control algorithms are implemented using a floating-point digital signal processor

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Summary

Introduction

Repetitive control [1] is one of the specific control schemes in which its objective is to reduce the steady state errors with the periodic inputs. In [2], the high static low dynamic stiffness concept is a design strategy for an anti-vibration mount that seeks to increase isolation by lowering the natural frequency of the mount, whilst maintaining the same static load bearing capacity. This paper presents a new method for synthesizing repetitive controllers applied to anti-vibration system for rejecting periodic disturbance. The control performance of the present method is evaluated in the experimental disturbance rejecting control system, where the real-time control algorithms are implemented using a floating-point digital signal processor. Both computer simulation and experimental results are presented to illustrate the effectiveness of the proposed repetitive controller design

Dynamics Stiffness of Control System
Dynamics Stiffness of Repetitive Control System
Conclusion
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