2013 American Control Conference 2013
DOI: 10.1109/acc.2013.6580889
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Learning in the synthesis of data-driven variable-gain controllers

Abstract: To deal with performance trade-offs in the control of motion systems, a method is developed for designing variablegain feedback controllers. The idea is to select a piecewise affine controller structure and, subsequently, to find the nonlinear controller parameter values of this structure by data-driven performance optimization. Herein an H2 performance objective is minimized. As a result, variable-gain controllers are synthesized using techniques from the field of learning and optimization. The method is appl… Show more

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Cited by 7 publications
(6 citation statements)
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References 23 publications
(23 reference statements)
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“…Second, a data-based approach will be presented, which is especially suitable for situations where machine measurements are available and when accurate modeling of the disturbances acting on the system is challenging if not impossible. This paper extends the preliminary results in [17,18] by (1) comparing the model-based optimization approach and the data-based approach and applying both to an experimental motion control system, and (2) applying the data-based piecewise affine variable gain controller synthesis approach to an industrial wafer scanner.…”
Section: Introductionmentioning
confidence: 90%
See 2 more Smart Citations
“…Second, a data-based approach will be presented, which is especially suitable for situations where machine measurements are available and when accurate modeling of the disturbances acting on the system is challenging if not impossible. This paper extends the preliminary results in [17,18] by (1) comparing the model-based optimization approach and the data-based approach and applying both to an experimental motion control system, and (2) applying the data-based piecewise affine variable gain controller synthesis approach to an industrial wafer scanner.…”
Section: Introductionmentioning
confidence: 90%
“…Using (17), we can write the gradients with respect to the switching lengths d i and a i as (see [18])…”
Section: Data-based Controller Synthesismentioning
confidence: 99%
See 1 more Smart Citation
“…with α 1 , α 2 ≥ 0 gains and δ 1 ≥ 0 the switching length; the example is taken from Heertjes et al (27) . Note that α 1 = 0 and α 2 = α gives the deadzone nonlinearity in (3), whereas α 1 = α and α 2 = 0 renders a saturation nonlinearity.…”
Section: Input-to-state Stability (Iss)mentioning
confidence: 99%
“…It is worth pointing out that finding the optimal gains for the controller is very crucial and challenging for achieving the best performance of vibration suppression in the control system, which is still an open research problem. The variable gain control methods have been developed by other researchers in various engineering applications previously [39][40][41][42][43]. Combining the variable gain control into the design of a vibration suppression strategy has the potential in improving the damping performance of the actuators.…”
Section: Introductionmentioning
confidence: 99%