Dynamic control allocation of a feedback linearized hybrid neuroprosthetic system
Authors:
- 1 July 2016
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 3976-3981
Abstract
Functional electrical stimulation (FES) can be used to restore motor function to individuals with motion impairments; however, the duration of FES usage is limited by the rapid onset of muscle fatigue. A motor-assist can be used to compensate for the muscle fatigue by sharing work load of FES. However, it is unknown how to optimally allocate control effort to the motor-assist and FES as the muscle fatigues. Further, computing an optimal control solution is challenging given the nonlinear dynamics of the human leg system. This paper uses model predictive control (MPC) to solve an optimal control trajectory for the feedback linearized musculoskeletal system, which simplifies the optimal control problem; therefore, may reduce the computational load for MPC. The feedback linearization controller was developed for the nonlinear musculoskeletal model with fatigue dynamics where FES and an electric motor torque are the inputs. Then MPC was used on the linearized musculoskeletal system to allocate control to FES and an electric motor for regulation. Simulations on a musculoskeletal model of knee extension are presented in the paper.Keywords
This publication has 21 references indexed in Scilit:
- Model Predictive Control-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis2014
- Hybrid FES-robot cooperative control of ambulatory gait rehabilitation exoskeletonJournal of NeuroEngineering and Rehabilitation, 2014
- Preliminary assessment of the efficacy of supplementing knee extension capability in a lower limb exoskeleton with FES2012
- Toward lower limbs movement restoration with input–output feedback linearization and model predictive control through functional electrical stimulationControl Engineering Practice, 2012
- Feasibility of a hybrid-FES system for gait restoration in paraplegics2010
- Rehabilitation of Reaching and Grasping Function in Severe Hemiplegic Patients Using Functional Electrical Stimulation TherapyNeurorehabilitation and Neural Repair, 2008
- Optimal control of walking with functional electrical stimulation: a computer simulation studyIEEE Transactions on Rehabilitation Engineering, 1999
- Nonlinear Control Systems1995
- Nonlinear joint angle control for artificially stimulated muscleIEEE Transactions on Biomedical Engineering, 1992
- Regulating knee joint position by combining electrical stimulation with a controllable friction brakeAnnals of Biomedical Engineering, 1990