SBIR/STTR Research Award

SBIR Phase I: True Analog Fractional Order Control

Award identifier 909b88bd81c51a28e9ce8172578f2b7d482b89bd0ff8dded4dc18599c633f716Awarding agency National Science Foundation

Award amount

$99,775

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Wavelength Electronics
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 05-557
Topic code
EL

Research abstract

This Small Business Innovation Research Phase I project will improve and simplify servomechanism control by using a patent-pending new circuit element - the Fractor. Human augmentation systems requiring human-like motion will be the first targets for this novel control approach based on fractional order control (FOC), including prosthetic joints and powered wheelchairs. The control technology also holds promise to solve stability problems in other servomechanisms, such as hard disc drives. State-of-the-art control systems for light and flexible systems require constant retuning or extremely complex control algorithms to "predict" and "adapt" to changing conditions but cannot respond to unconsidered circumstances. These limitations evaporate with the introduction of the full power of the fractional calculus. Fractional order calculus simply introduces the real number line to a theory that has been artificially constrained to the integer numbers. FOC is internationally recognized as the next route of improvement in robotics. This research to pioneer a new paradigm of control engineering is supported by both a prosthetic company and hard disc drive manufacturers. Neuro-motor dynamics in humans have been successfully modeled by fractional differential equations, with the same form as is exhibited by the Fractor. Also, the fractional order control matches diffusion-limited processes in fuel cells and thermally-limited systems, e.g. steam and nuclear power plants.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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