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Thesis_ES_MusclePower.pdf (4.21 MB)

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Investigation of Extremum Seeking Control for Adaptive Exercise Machines

Powell, Brahm T
http://rave.ohiolink.edu/etdc/view?acc_num=csu1504279509682739

Abstract Details

2017, Master of Science in Mechanical Engineering, Cleveland State University, Washkewicz College of Engineering.
Many muscle rehabilitation regimens are non-adaptive and recommended subjectively by physicians. While there are advantages to having the feedback of a qualified physician, utilizing real-time muscle performance feedback could be beneficial. An extremum seeking control design is proposed to fulfill the need for an automated, load-varying exercise machine that can optimize muscle performance. Several steps are outlined to contribute to the realization of this goal. First, the extremum seeking control scheme is discussed. Second, the Hill muscle model will be described. Theoretical muscle effort extrema will be derived for selected optimization cases, namely maximizing average squared power by varying load stiffness. Thirdly, a muscle-actuated linkage framework will be developed for simulation. This framework allows for automated creation of a linkage with an arbitrary number of links and muscles with easily customizable parameters. Finally, the controller will be simulated against the linkage to demonstrate the feasibility of the proposed control design. Successful completion of these steps is crucial to the development of an adaptive exercise machine. Although feasibility is not shown for every type of load or performance measure, the proposed framework is streamlined enough to allow for - and encourage - future research and customization.
Hanz Richter, Ph.D. (Committee Member)
Antonie van den Bogert, Ph.D. (Committee Member)
Daniel Simon, Ph.D. (Committee Member)
150 p.
Engineering
extremum seeking; control; adaptive; human modeling; Hill muscle;

Recommended Citations

Citations

  • Powell, B. T. (2017). Investigation of Extremum Seeking Control for Adaptive Exercise Machines [Master's thesis, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1504279509682739

    APA Style (7th edition)

  • Powell, Brahm. Investigation of Extremum Seeking Control for Adaptive Exercise Machines. 2017. Cleveland State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1504279509682739.

    MLA Style (8th edition)

  • Powell, Brahm. "Investigation of Extremum Seeking Control for Adaptive Exercise Machines." Master's thesis, Cleveland State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu1504279509682739

    Chicago Manual of Style (17th edition)

csu1504279509682739
761
© 2017, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.