Name
Title | ||
|---|---|---|
Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive |
Abstract | ||
|---|---|---|
Improvement of adjustable speed drive system efficiency is important not only from the viewpoints of energy saving and cooling system operation, but also from the broad perspective of environmental pollution. The paper describes a fuzzy logic based on-line efficiency optimization control of a drive that uses an indirect vector controlled induction motor speed control system in the inner loop. At steady-state light-load condition, a fuzzy controller adaptively decrements the excitation current on the basis of measured input power such that, for a given load torque and speed, the drive settles down to the minimum input power, i.e., operates at maximum efficiency. The low-frequency pulsating torque due to decrementation of rotor flux is compensated in a feedforward manner. If the load torque or speed command changes, the efficiency search algorithm is abandoned and the rated flux is established to get the best transient response. The drive system with the proposed efficiency optimization controller has been simulated with lossy models of the converter and machine, and its performance has been thoroughly investigated. An experimental drive system with the proposed controller implemented on a TMS320C25 digital signal processor, has been tested in the laboratory to validate the theoretical development. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/41.370386 | Industrial Electronics, IEEE Transactions |
Keywords | Field | DocType |
machine control,optimisation,torque,environmental pollution,induction motor drives,power convertors,lossy models,feedforward,rotor flux,optimal control,lf pulsating torque,steady-state light-load condition,adjustable speed drive,cooling system operation,inner loop,control system synthesis,feedforward compensation,tms320c25 digital signal processor,controllers,on-line efficiency optimization control,rotors,energy saving,indirect vector control,machine testing,speed control system,digital signal processing chips,control system analysis,fuzzy logic,electric current control,power converter,velocity control,low-frequency pulsating torque,adaptive control,simulation,power engineering computing,transient response,online efficient optimal control,indirect vector-controlled induction motor drive,maximum efficiency,excitation current,compensation,fuzzy control,magnetic flux,converter,induction motors,fuzzy controller,machine theory,laboratory,induction motor,variable speed drives,performance,digital control,adaptive excitation current control,efficiency search algorithm,search algorithm,control systems,digital signal processor,steady state,low frequency,pollution,speed control | Vector control,Induction motor,Control theory,Adjustable-speed drive,Control theory,Direct torque control,Control engineering,Control system,Engineering,Fuzzy control system,Feed forward | Journal |
Volume | Issue | ISSN |
42 | 2 | 0278-0046 |
Citations | PageRank | References |
26 | 4.55 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. C. D. Sousa | 1 | 33 | 6.20 |
| Bose, B.K. | 2 | 26 | 4.55 |
| Cleland, J.G. | 3 | 26 | 4.55 |