Parameters Identification of Air-Condition Compressor Driven by Motor Using the Least Squares Method

Abstract

Nowadays variable-frequency air-condition with some obvious characteristics such as energy conservation, comfortable will gradually occupy the entire market of air-condition. Aiming at the changes of the electromagnetic parameters of running PMSM in air-condition compressor drive system, recursive least squares with forgetting factor method is used to identify the resistance and inductance of the motor online. In order to overcome disadvantages of high-complexity and length-counting period in the traditional simulation language, the paper enhances simulation efficiency by calling S-function to compile the least squares algorithm in Matlab. The rationality of the algorithm is verified by comparing between the estimated parameters and real parameters in the simulation system of double closed loop control system and identification model. Simulation results show that the method can accurately identify the motor parameters and have considerable practical value.