Research Of The Performance Optimization For Asynchronous Motor Control

ABSTRACT:Due to excellent control performance, the field oriented vector control has been widely used in the field of electric drive. However, this control approach in terms of high performance needs improvement in some areas. In this paper, two aspects, iron loss offline identification and rotor time constant online identification, are studied to optimize the performance of vector control. First, Influencing factors for the parameter and its change law are mathematically deduced, theoretically analyzed in detail and are investigated by a large number of simulation studies. Besides a combination of temperature and magnetic saturation effects, iron loss is considered, which is usually ignored but have a great impact on system performance. Then iron losses under different conditions, including the stator iron loss and rotor iron loss, have been measured by standard no-load test. Derive a function of iron loss changes with frequency and slip. Finally, design of a improved vector control system which contains a iron loss compensation module and a rotor time constant identification module has been designed. The rotor time constant identification algorithm considers the iron loss, and adopts model reference adaptive Scheme based on q-axis rotor flux. Simulation and experiment results show that the new scheme can provide a properly compensation of iron loss and the rotor time constant. The dynamic and the steady-state performance of the control system have been effectively improved.