Abstract
The control of a one degree of freedom exercise machine is considered. The control objective is to cause the human user to exercise at a rate which optimizes a prescribed weighted power criterion. The optimality condition is determined by the muscle mechanics which is assumed to satisfy a force-velocity relationship. In general, the parameters of this relationship are unknown and vary with the configuration of the exercise machine. As a consequence, the control scheme must simultaneously i) identify the parameters, ii) optimize the controller, and iii) stabilize the system to the estimated optimal states. In this paper we derive a controller which is in the form of a nonlinear dynamic damper and makes the controlled system interact passively with the user. Assuming that the human's force-velocity muscular biomechanics relationship is known, this controller allows the user to exercise in an optimal manner.
Original language | English (US) |
---|---|
Title of host publication | International Workshop on Advanced Motion Control, AMC |
Publisher | IEEE |
Pages | 271-276 |
Number of pages | 6 |
Volume | 1 |
State | Published - Jan 1 1996 |
Event | Proceedings of the 1996 4th International Workshop on Advanced Motion Control, AMC'96. Part 1 (of 2) - Tsu, Jpn Duration: Mar 18 1996 → Mar 21 1996 |
Other
Other | Proceedings of the 1996 4th International Workshop on Advanced Motion Control, AMC'96. Part 1 (of 2) |
---|---|
City | Tsu, Jpn |
Period | 3/18/96 → 3/21/96 |
Fingerprint
Cite this
Intelligent control of an exercise machine. / Li, Perry; Horowitz, Roberto.
International Workshop on Advanced Motion Control, AMC. Vol. 1 IEEE, 1996. p. 271-276.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Intelligent control of an exercise machine
AU - Li, Perry
AU - Horowitz, Roberto
PY - 1996/1/1
Y1 - 1996/1/1
N2 - The control of a one degree of freedom exercise machine is considered. The control objective is to cause the human user to exercise at a rate which optimizes a prescribed weighted power criterion. The optimality condition is determined by the muscle mechanics which is assumed to satisfy a force-velocity relationship. In general, the parameters of this relationship are unknown and vary with the configuration of the exercise machine. As a consequence, the control scheme must simultaneously i) identify the parameters, ii) optimize the controller, and iii) stabilize the system to the estimated optimal states. In this paper we derive a controller which is in the form of a nonlinear dynamic damper and makes the controlled system interact passively with the user. Assuming that the human's force-velocity muscular biomechanics relationship is known, this controller allows the user to exercise in an optimal manner.
AB - The control of a one degree of freedom exercise machine is considered. The control objective is to cause the human user to exercise at a rate which optimizes a prescribed weighted power criterion. The optimality condition is determined by the muscle mechanics which is assumed to satisfy a force-velocity relationship. In general, the parameters of this relationship are unknown and vary with the configuration of the exercise machine. As a consequence, the control scheme must simultaneously i) identify the parameters, ii) optimize the controller, and iii) stabilize the system to the estimated optimal states. In this paper we derive a controller which is in the form of a nonlinear dynamic damper and makes the controlled system interact passively with the user. Assuming that the human's force-velocity muscular biomechanics relationship is known, this controller allows the user to exercise in an optimal manner.
UR - http://www.scopus.com/inward/record.url?scp=0029717656&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029717656&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029717656
VL - 1
SP - 271
EP - 276
BT - International Workshop on Advanced Motion Control, AMC
PB - IEEE
ER -