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• W2036497897 abstract "Recursive Learning Control (RLC) has the potential to significantly reduce the tracking error in many repetitive trajectory applications. This paper presents an application of RLC to a soil testing load frame where non-adaptive techniques struggle with the highly nonlinear nature of soil. The main purpose of the controller is to apply a sinusoidal force reference trajectory on a soil sample with a high degree of accuracy and repeatability. The controller uses a feedforward control structure, recursive least squares adaptation algorithm and RLC to compensate for periodic errors. Tracking error is reduced and stability is maintained across various soil sample responses." @default.
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• W2036497897 date "2011-09-01" @default.
• W2036497897 modified "2023-09-26" @default.
• W2036497897 title "Adaptive recursive control of a soil testing load frame" @default.
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• W2036497897 doi "https://doi.org/10.1109/ramech.2011.6070464" @default.
• W2036497897 hasPublicationYear "2011" @default.
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