Optimal anti-windup digital redesign of multi-input multi-output control systems under input constraints

Author(s): J.S.-H. Tsai ; Y.-Y. Du ; W.-Z. Zhuang ; S.-M. Guo ; C.-W. Chen ; L.-S. Shieh
DOI: 10.1049/iet-cta.2010.0020

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Author(s): J.S.-H. Tsai ¹ ; Y.-Y. Du ¹ ; W.-Z. Zhuang ¹ ; S.-M. Guo ² ; C.-W. Chen ³ ; L.-S. Shieh ⁴
- Affiliations: 1: Control System Laboratory, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
  2: Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
  3: Department of Mechanical and Automation Engineering, Kao Yuan University, Kaohsiung, Taiwan
  4: Department of Electrical and Computer Engineering, University of Houston, Houston, USA
Source: Volume 5, Issue 3, 17 February 2011, p. 447 – 464
DOI: 10.1049/iet-cta.2010.0020 , Print ISSN 1751-8644, Online ISSN 1751-8652

In this study, a novel optimal anti-windup control scheme is proposed to resolve the input constraint problem for multi-input multi-output (MIMO) systems, without losing the good tracking performance as possible. Avoiding complex numerical calculation, the proposed optimal control scheme can systematically compress a huge control input within the range of the required restriction by adjusting well-designed weighted matrices for linear constrained systems. Combining a conventional linear quadratic analogue tracker (LQAT) with the proposed scheme, the anti-windup-based optimal analogue tracker not only possesses the advantage of the conventional LQAT, good tracking performance, but also effectively resolves the input saturation problem. For practical consideration, the proposed LQAT is implemented by adopting the prediction-based digital redesign technique to design an effective digital control of linear MIMO sampled-data systems under input constraints.

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Optimal anti-windup digital redesign of multi-input multi-output control systems under input constraints

Optimal anti-windup digital redesign of multi-input multi-output control systems under input constraints

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