MPC Inspired Dynamical Output Feedback and Adaptive Feedforward Control Applied to Piezo-Actuated Positioning Systems

Manh Linh Nguyen, Xinkai Chen

研究成果: Article

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It has been shown that the closed-loop transfer function representation of the unconstrained model predictive control (MPC) for single input single output systems is similar to a two-degree-of-freedom controller, which is capable of improving the tracking performance of positioning systems. Conventionally, the optimal parameters of the above-mentioned transfer function are result of a quite complicated MPC tuning. This paper proposes a new approach to obtain the parameters directly instead, where the input/output constraints are not considered. The method combines conventional feedback and adaptive feedforward techniques to minimize the tracking error as well as mitigate the influence of the load disturbance. Experiments on an ultra precision positioning system actuated by piezoelectric actuator show that the proposed method achieves much better tracking performance over a well-tuned conventional MPC.

元の言語English
記事番号8718028
ページ(範囲)3921-3931
ページ数11
ジャーナルIEEE Transactions on Industrial Electronics
67
発行部数5
DOI
出版物ステータスPublished - 2020 5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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