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Adaptive Feedforward Control of Sinusoidal Disturbances with Unknown Parameters: An Experimental Investigation

Bassford, Marshall R, Mr.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1641811464063583

Abstract Details

2022, Master of Science, Ohio State University, Electrical and Computer Engineering.
This thesis presents the design, simulation and experimental validation of a novel approach to robust Adaptive Feedforward Control (AFC) of uncertain linear systems affected by harmonic disturbance. This thesis advances the AFC concept from theoretical proofs to a demonstration that the developed algorithm can be executed not only in simulation but compiled into open-sourced code and used in a “real world” example of a harmonic disturbance rejection in an acoustic chamber. This thesis includes detailed methodology on the design, simulation, code generation and execution of these experiments. A feature that sets the proposed method apart from existing approaches is that knowledge of the frequency response of the plant at a known frequency of excitation is not needed, as the controller tunes adaptively its parameters to accommodate for model uncertainty. An extension to the case where the frequency of excitation is not known precisely is also proposed. The methodology presented in this thesis builds upon recent results on Adaptive Feedforward Control as well as on classic tools in adaptive control. A noticeable drawback of the proposed controller -at this stage- is the large attenuation times when a disturbance frequency is changed in closed loop, which is due to the fact that – at present – the combined actions of stabilization, parameter adaptation and frequency estimation are not optimized.
Lee Potter, Dr. (Committee Member)
Andrea Serrani, Dr. (Advisor)
79 p.
Electrical Engineering
Adaptive Control, Feed Forward, Observer, Experimentation

Recommended Citations

Citations

  • Bassford, M. R. (2022). Adaptive Feedforward Control of Sinusoidal Disturbances with Unknown Parameters: An Experimental Investigation [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1641811464063583

    APA Style (7th edition)

  • Bassford, Marshall. Adaptive Feedforward Control of Sinusoidal Disturbances with Unknown Parameters: An Experimental Investigation. 2022. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1641811464063583.

    MLA Style (8th edition)

  • Bassford, Marshall. "Adaptive Feedforward Control of Sinusoidal Disturbances with Unknown Parameters: An Experimental Investigation." Master's thesis, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1641811464063583

    Chicago Manual of Style (17th edition)

osu1641811464063583
109
© 2022, some rights reserved.Creative Commons License Adaptive Feedforward Control of Sinusoidal Disturbances with Unknown Parameters: An Experimental Investigation by Marshall R Bassford Mr. is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.