Name
Abstract | ||
|---|---|---|
This paper discusses efficiency optimization for induction motors in dynamic operation, such as in traction or servo drives. Steady-state schemes are inefficient in dynamic operation, and existing dynamic optimization schemes can not be implemented in real-time. As remedy, a heuristic solution to the dynamic optimization problem is proposed that can be calculated online at every sampling step. A numerical analysis of the dynamic optimization problem reveals that the optimal flux can be approximated as an exponential function whose time constant depends on the motor parameters, the setpoint and the direction of flux control. The flux is controlled such that a desired asymptotic torque response is obtained while the ohmic and iron losses are minimized. The experimental results on an industrial 2.2 kW servo drive point out the energy saving potential of the dynamic efficiency optimization. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ACC.2013.6580873 | American Control Conference |
Keywords | Field | DocType |
approximation theory,dynamic programming,induction motors,optimal control,sampling methods,servomotors,torque control,asymptotic torque response,dynamic optimization problem,energy saving potential,exponential function,flux control direction,flux control setpoint,heuristic solution,induction machines,induction motor parameters,iron loss minimization,numerical analysis,ohmic loss minimization,optimal flux approximation,real-time dynamic efficiency optimization,sampling step,servo drive point,time constant,traction | Dynamic programming,Induction motor,Torque,Optimal control,Control theory,Computer science,Setpoint,Control engineering,Optimization problem,Servo drive,Servomotor | Conference |
ISSN | ISBN | Citations |
0743-1619 | 978-1-4799-0177-7 | 1 |
PageRank | References | Authors |
0.43 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Francois Stumper | 1 | 6 | 1.83 |
| Ralph Kennel | 2 | 1 | 0.43 |