Induction motor is widely used in agriculture, industry. With the in-depth development of modern control theory, the induction motor control technology has been constantly improved and perfected. The induction motor parameter identification and adaptive control have an important role in the improvement of the control performance. Many scholars from various countries focus on the study about it.This thesis presents the parameter identification method under the vector control system, based on a detailed analysis of induction motor mathematical model. It includes parameters off-line identification and adaptive system of rotor time constant. In the field of induction motor vector control, rotor flux oriented control is a commonly used method. This approach is a mature theoretical study, having excellent performance in the motor control. The method of parameters off-line identification is based on the theory of vector control. Apply corresponding control in vector control link. Measure the voltage and current of induction motor, according to the given voltage and current. Based on the T-type equivalent circuit of the induction motor in the stationary state, some parameters can be identified, including the stator resistance, rotor resistance, stator leakage inductance, rotor leakage inductance and mutual inductance parameters. Rotor time constant adaptive system is established in accordance with the model reference adaptive control theory. According to the analysis of rotor flux model, the flux model based reactive power model was implemented. The presented system adopted the rotor flux voltage model as reference model and the rotor flux current model as the adjustable model. The adaptive system achieves the effect of rotor time constant real-time adjustment to the reactive power error.This article describes the simulation used MATLAB/Simulink as well. The simulation models contain rotor flux oriented vector control system, parameters off-line identification system and rotor time constant adaptive system. Simulation results demonstrate the feasibility of this method. On the strength of the control chip TMS320F2812, the system of induction motor parameters’identification and adaptation is built. Experimental results demonstrate the accuracy and stability of the system... |