Enhanced Tracking for Nanopositioning Systems Using Feedforward/Feedback Multivariable Control Design

Mohamed Kara-Mohamed, William P Heath, Alexander Lanzon

    Research output: Contribution to journalArticlepeer-review

    54 Downloads (Pure)

    Abstract

    This paper proposes a systematic synthesis method- ology for a combined feedforward/feedback architecture to control multiple-input, multiple-output nanopositioning systems. Coprime factorization of the open loop model is used to design the reference and feedforward filters of the proposed control scheme to achieve enhanced tracking, eliminate the limitation of the feed- back on tracking performance, and increase the bandwidth of the closed-loop system. Two types of coprime factorization, namely inner–outer factorization and normalized coprime factorization are discussed. A case study based on hardware experiment is presented to analyze the proposed control architecture and demonstrate its superiority over feedback-only control. In addi- tion to the no-load case, the performance of the system is also tested with loads on the nanopositioning stage.
    Original languageEnglish
    Pages (from-to)1003-1013
    Number of pages10
    JournalI E E E Transactions on Control Systems Technology
    Volume23
    Issue number3
    DOIs
    Publication statusPublished - 14 Apr 2015

    Keywords

    • Feedback, feedforward, multivariable control design, nanopositioning, tracking.

    Fingerprint

    Dive into the research topics of 'Enhanced Tracking for Nanopositioning Systems Using Feedforward/Feedback Multivariable Control Design'. Together they form a unique fingerprint.

    Cite this