Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem

Reza Sharif Razavian; John McPhee

doi:10.1115/DSCC2015-9678

Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem

Reza Sharif Razavian, John McPhee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

The application of functional electrical stimulation (FES) to muscles quickly fatigues them. Our research goal is to determine the optimal control of FES signals that delay the fatigue for as long as possible. In this research we have used a physiologybased mathematical model of muscle fatigue, to study the behaviour of a musculoskeletal system during a prolonged exercise. To solve the redundant problem of muscle force sharing, we have used a time-dependent fatigue minimization objective instead of the usual activation-based minimization criteria. Our results showed that muscle co-activation, as seen in natural human motion, does not necessarily minimize muscle fatigue.

Original language	English (US)
Title of host publication	Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2
Subtitle of host publication	Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791857243
DOIs	https://doi.org/10.1115/DSCC2015-9678
State	Published - 2015
Externally published	Yes
Event	ASME 2015 Dynamic Systems and Control Conference, DSCC 2015 - Columbus, United States Duration: Oct 28 2015 → Oct 30 2015

Publication series

Name	ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Volume	1

Conference

Conference	ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Country/Territory	United States
City	Columbus
Period	10/28/15 → 10/30/15

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Mechanical Engineering
Control and Systems Engineering

Access to Document

10.1115/DSCC2015-9678

Cite this

Razavian, R. S., & McPhee, J. (2015). Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem. In Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems (ASME 2015 Dynamic Systems and Control Conference, DSCC 2015; Vol. 1). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2015-9678

Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem. / Razavian, Reza Sharif; McPhee, John.
Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. American Society of Mechanical Engineers, 2015. (ASME 2015 Dynamic Systems and Control Conference, DSCC 2015; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Razavian, RS & McPhee, J 2015, Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem. in Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. ASME 2015 Dynamic Systems and Control Conference, DSCC 2015, vol. 1, American Society of Mechanical Engineers, ASME 2015 Dynamic Systems and Control Conference, DSCC 2015, Columbus, United States, 10/28/15. https://doi.org/10.1115/DSCC2015-9678

Razavian RS, McPhee J. Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem. In Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. American Society of Mechanical Engineers. 2015. (ASME 2015 Dynamic Systems and Control Conference, DSCC 2015). doi: 10.1115/DSCC2015-9678

Razavian, Reza Sharif ; McPhee, John. / Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem. Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. American Society of Mechanical Engineers, 2015. (ASME 2015 Dynamic Systems and Control Conference, DSCC 2015).

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Minimization of muscle fatigue as the criterion to solve muscle forces-sharing problem

Abstract

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ASJC Scopus subject areas

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