scholarly journals Experimental comparison of some classical iterative learning control algorithms

2002 ◽  
Vol 18 (4) ◽  
pp. 636-641 ◽  
Author(s):  
M. Norrlof ◽  
S. Gunnarsson
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Experimental Comparison ◽  
Control Algorithms

Discrete Fourier Transform Based Iterative Learning Control Design for Linear Plants With Experimental Verification

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
C. T. Freeman ◽  
P. L. Lewin ◽  
E. Rogers ◽  
D. H. Owens ◽  
J. J. Hatonen
Keyword(s):  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Experimental Verification ◽  
Iterative Learning Control ◽  
Design Method ◽  
Control Design ◽  
Learning Control ◽  
Iterative Learning ◽  
Control Algorithms ◽  
Straightforward Manner

This paper considers the design of linear iterative learning control algorithms using the discrete Fourier transform of the measured impulse response of the system or plant under consideration. It is shown that this approach leads to a transparent design method whose performance is then experimentally benchmarked on an electromechanical system. The extension of this approach to the case when there is uncertainty associated with the systems under consideration is also addressed in both algorithm development and experimental benchmarking terms. The robustness results here have the applications oriented benefit of allowing the designer to manipulate the convergence and robustness properties of the algorithm in a straightforward manner.

Experimental Comparison of Two Integer Valued Iterative Learning Control Approaches at a Stator Cascade

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Florian Arnold ◽  
Karl Neuhäuser ◽  
Rudibert King
Keyword(s):  
Iterative Learning Control ◽  
Control Method ◽  
Active Flow Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Experimental Comparison ◽  
Binary Character ◽  
Rotor Stator Interaction ◽  
Binary Control ◽  
Active Flow

Abstract Experimental and simulative investigations have shown that active flow control (AFC) is an effective method to influence flow conditions within a compressor. This can be used for different cases like mitigating flow separation or to ensure a uniform flow throughout a compressor stage. Control performance can be improved by making use of a cyclic character found in the rotor/stator interaction or found in new gas turbine setups exploiting cycling combustion. To this end, iterative learning control (ILC) is applied. To achieve a fast actuation, irrespective of the implemented control method, solenoid valves should be installed instead of proportional valves. Unfortunately, the binary character of these valves does not allow the application of conventional control methods, e.g., real-valued ILC. This contribution presents two options to handle the binary control domain in the context of an ILC. Both approaches are tested in a simulation study first to analyze the behavior. Then they are applied to a real test rig featuring a linear stator cascade.

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