| Main Title |
Fuzzy Logic Motor Control for Pollution Prevention and Improved Energy Efficiency. |
| Author |
Spiegel, R. J. ;
Chappell, P. J. ;
Maxwell, M. A. ;
Cleland, J. G. ;
Bose, B. K. ;
|
| CORP Author |
Research Triangle Inst., Research Triangle Park, NC. ;Tennessee Univ., Knoxville.;Environmental Protection Agency, Research Triangle Park, NC. Air and Energy Engineering Research Lab. |
| Publisher |
Oct 93 |
| Year Published |
1993 |
| Report Number |
EPA-R-818282-02; EPA/600/A-94/118; |
| Stock Number |
PB94-190865 |
| Additional Subjects |
Air pollution abatement ;
Electric motors ;
Energy efficiency ;
Control systems ;
Electronic control ;
Performance evaluation ;
Microelectronics ;
Controllers ;
Energy conservation ;
Costs ;
Fuzzy logic ;
Adjustable speed drives
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB94-190865 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
13p |
| Abstract |
The paper discusses an EPA program investigating fuzzy logic motor control for improved pollution prevention and energy efficiency. Initial computer simulation and laboratory results have demonstrated that fuzzy logic energy optimizers can consistently improve motor operational efficiency over conventional adjustable-speed drive (ASD) operation. This is significant in terms of both potential U.S. pollution prevention and energy savings possibilities. The addition of a fuzzy logic energy optimizer microchip to an ASD is minimal in terms of cost because low-power microchips are very cheap when manufactured in volume. Thus, the energy savings and enhanced motor operation and lifespan should be regarded as almost free because cost payback is potentially so short. |
