• Journal of the Korean Society for Precision Engineering
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• v.21 no.8
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• pp.171-179
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• 2004

The purpose of this study is to generate cycling motion for FES (functional electrical stimulation) using knee muscles only. We investigated the possibility by simulation. The musculoskeletal model used in this simulation was simplified as 5-rigid links and 2 muscles (knee extensor and flexor). For the improvement of the present feedforward control in FES, we included feedback path in the control system. The control system was developed based on the biological neuronal system and was represented by three sub-systems. The first is a higher neuronal system that generates the motion command for each joint. The second is the lower neuronal system that divides the motion command to each muscle. And the third is a sensory feedback system corresponding to the somatic sensory system. Control system parameters were adjusted by a genetic algorithm (GA) based on the natural selection theory. GA searched the better parameters in terms of the cost function where the energy consumption, muscle force smoothness, and the cycling speed of each parameter set (individual) are evaluated. As a result, cycling was implemented using knee muscles only. The proposed control system based on the nervous system model worked well even with disturbances.

• Resources Recycling
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• v.23 no.6
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• pp.54-62
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• 2014

This paper present a improved process for remanufacturing of LPG vaporizer through Failure Mode and Effect Analysis(FMEA). Based on the failure causes analysis and classification of faults that occur after the initial failure of LPG vaporizer remanufacturing, suggests improvements for high R.P.N. Derive the improvement for higher cumulative frequency of each process, proposes the overall improvement of a current process for establish a standard LPG remanufacturing process.