Data-driven controller tuning based on unfalsified control for sensitivity minimization

被引：0

作者：

Hori T. ^{[1
]}

Yubai K. ^{[1
]}

Yashiro D. ^{[1
]}

Komada S. ^{[1
]}

机构：

[1] Mie University, 1577, Kurimamachiya, Tsu, Mie

来源：

IEEJ Transactions on Electronics, Information and Systems | 2017年 / 137卷 / 10期

关键词：

Convex optimization; Data-driven; Fictitious input disturbance; H∞; control; Sensitivity minimization;

D O I：

10.1541/ieejeiss.137.1364

中图分类号：

学科分类号：

摘要：

By achieving low sensitivity, it is possible to suppress influence of perturbation in a plant and disturbances. In modelbased controller syntheses, the sensitivity function is minimized using a mathematical model of a plant while internal stability of the closed-loop system is maintained. However, there are some difficult cases where a precise mathematical model of the plant cannot be obtained. Moreover, if there is a large error between a plant model and an actual plant, the designed controller might not show desired performance, at the worst case, the system would be destabilized. This paper focuses on data-driven controller tuning methods because they does not need system identification and design controller by using only input-output data. This paper proposes a design method to achieve sensitivity minimization by using only input-output data. © 2017 The Institute of Electrical Engineers of Japan.

引用

页码：1364 / 1372

页数：8

共 11 条

[1]

Glover K., Doyle J.C., State-space formulae for all stabilizing controllers that satisfy an H∞ norm bound and relations to risk sensitivity, Systems & Control Letters, 11, 8, pp. 167-172, (1988)

[2]

Gahinet P., Apkarian P., A linear matrix inequality approach to H∞- control, International Jarnal of Robust and Nonlinear Control, 4, 4, pp. 421-448, (1994)

[3]

Campi M.C., Lecchini A., Savaresi S.M., An application of the virtual reference feedback tuning method to a benchmark problem, European Journal of Control, 9, 1, pp. 66-76, (2003)

[4]

Campi M.C., Lecchini A., Savaresi S.M., Virtual reference feedback tuning: A direct method for the design of feedback controllers, Automatica, 38, 8, pp. 1337-1346, (2002)

[5]

Karimi A., Heusden K.V., Bonvin D., Noniterative data-driven controller tuning using correlation approach, Proc. of European Control Conference, pp. 5189-5195, (2007)

[6]

Safonov M.G., Taso T.C., The unfalsified control concept and learning, IEEE Transctions on Automatic Control, AC-42, 6, pp. 843-847, (1997)

[7]

Saeki M., Model-free pid controller optimization for loop shaping, Proc. of the 17th IFAC World Congress, 41, 2, pp. 4958-4963, (2008)

[8]

Saeki M., Sugitani Y., Partial tuning of dynamical controllers by datadriven loop-shaping, SICE Journal of Control, Measurement, and System Integration, 4, 1, pp. 71-76, (2011)

[9]

Saeki M., Data-driven loop-shaping design of PID controllers for stable plants, International Journal of Adaptive Control and Signal Processing, 28, 12, pp. 1325-1340, (2013)

[10]

Yullie A.V., The concave-convex procedure, Neural Computation, 15, 4, pp. 915-936, (2003)

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