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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hussain, Z. Noor, M.H.M. Ahmad, K.A. Ahmad, F. |
| Copyright Year | 2011 |
| Description | Author affiliation: Faculty of Electrical Engineering, Universiti Teknologi MARA, Malaysia (Hussain, Z.; Noor, M.H.M.; Ahmad, K.A.; Ahmad, F.) |
| Abstract | This paper describes the evaluation of the spreading factor inertia weight Particle Swarm Optimization (PSO) for the fuzzy logic control (FLC) of FES-assisted paraplegic indoor rowing exercise (FES-rowing). The FES-rowing is introduced as a total body exercise for rehabilitation of lower extremities through the application of functional electrical stimulation (FES). FLC is used to control the knee trajectories for smooth rowing manoeuvre and minimize the total electrical stimulation required by the muscles. PSO is implemented to optimize the parameter of the FLC. The objective function specified is to minimize the mean squared error of knee angle trajectory. The inertia weight of the PSO is updated using spreading factor technique and it performance is compared to the performance of PSO with time variant inertia weight. In view of good results obtained, it is concluded that Spreading Factor Inertia weight PSO is able to obtain the optimal parameter for FLC of FES-rowing. |
| Starting Page | 430 |
| Ending Page | 434 |
| File Size | 615952 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612844145 |
| e-ISBN | 9781612844138 |
| DOI | 10.1109/CSPA.2011.5759916 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-03-04 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knee Computational modeling FES-Rowing Exercise Muscles Fuzzy logic control Trajectory Particle swarm optimization PSO Optimization Spreading Factor Inertia Weight Convergence |
| Content Type | Text |
| Resource Type | Article |
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