Translated Abstract
Recently, a permanent magnet synchronous motor(PMSM) has been receiving much attentionin electric drive field becauseof the inherent advantages of high-power density, high efficiency,large torque to inertia ratio, and small size. In the motor control system, it is necessary that there exists a closed-loop control system in order tocontrol the speed and position of the motor precisely and dynamically．As such，mechanical sensors are needed and installed on the rotor shaft for measuring the speedand position of the rotor.However,these added mechanical sensors will increase the cost of the whole system.Therefore，controlling the PMSM precisely without sensorsbecomes a hot area in this field.
Firstly, This paper introduces thetraditional stator-current-based model reference adaptive system (MRAS) speed sensorless control strategy.Then,this paper proposedthestator-flux-based and the reactive-power-based model reference adaptive system (MRAS) speed sensorless control strategy.This paper creates a reference model and adjustable model for these three MRAS speed sensorless control strategy.In this dissertation, the stability of the MRAS system is proved by the positive real lemma and Popov hyperstabilitytheory,and also the PI adaptive law is derived. In order to design the parameter of the PI adaptive law, the small signal model of thestator-current-based MRAS and thestator-flux-based MRAS system on the synchronous reference frame is built.Simulation results show that these three MRAS speed sensorless strategies can estimate the motor speed.
Secondly, this paper analyzes the sensitivity of these three MRAS speed sensorless strategies to motor parameter changes. Theoretical analysis and simulation show thatthe stator-current-based MRAS algorithm sensitivity to changes in various parameters of the motor are very good; the stator-flux-based MRAS algorithm sensitivity to motor parameter variation is poor and the best combination of actual motor parameters identification of use; the reactive- power-based MRAS algorithm sensitivity to parameter variations is also very good, only the q-axis inductance changes affect its estimated speed.
Finally, this paper introduces the experimental platform of 3kW permanent magnet synchronous motor based on DSP TMS320F28335 as control core, through Labview realize the actual motor speed and MRAS estimated speed of real-time monitoring.Based on this experimental platform completed these three MRAS algorithm related experiment and the experiment results are in agreement with the theoretical analysis and simulation results, and to demonstrate the effectiveness of the three MRAS algorithm.
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