Motor rotor temperature real-time estimation method based on adaptive correction

Abstract

The invention discloses a motor rotor temperature real-time estimation method based on adaptive correction, and the method comprises the steps: constructing a motor temperature estimation model based on a motor loss model and a thermal circuit model, and expressing the model in a state space form, the input of the model is the current, the rotating speed, the environment temperature and other hot-spot temperatures which can be measured by a reliable and low-cost sensor during the operation of the motor, the output of the model is the stator winding temperature and the rotor magnetic steel temperature, and during the operation of the motor, the heat transfer model parameters are corrected in real time through the error between the actually measured winding temperature and the estimated winding temperature. Therefore, accurate rotor temperature estimation is indirectly obtained. The problem that the temperature of the motor rotor is difficult to measure in real time is solved by a simple and effective method.

Description

technical field [0001] The invention belongs to the technical field of motors, in particular to a method for estimating the real-time temperature of a motor rotor. Background technique [0002] The speed of the motor is in a state of rotation during operation. It is difficult to install a temperature sensor to effectively measure the temperature of the rotor or rotor-related parts. Even if a temperature sensor is installed, it is difficult to transmit the temperature information. This problem is especially serious in the application occasions of high-volume motors and high-speed motors. It is very important to monitor the temperature of the rotor during the operation of the motor. For example, the magnet in the permanent magnet motor is installed on the rotor, and the magnet is a temperature-sensitive component. High temperature will cause the performance of the magnet to decline, and excessive temperature will even cause the magnet to fail. Therefore, it is necessary to de...

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Problems solved by technology

[0003]Existing methods for motor rotor temperature identification are generally divided into the following three types: First, construct a lumped parameter model based on the thermal circuit model and loss model, and use experience Adjust the model parameters with the experimental results, implant the model into the motor control program, and estimate the rotor temperature of the motor in real time when the motor is running. The disadvantage of this method is that it is difficult to accurately adjust the model parameters, and the estimation effect is heavily dependent on experience, and there is a lot of chance

Second, the temperature of the rotor is indirectly estimated by observing temperature-sensitive physical quantities such as winding resistance and permanent magnet flux linkage. Identify temperature changes

The third is to integrate the above two methods and correct each other to make up for the accuracy problem of the second method in the case of small temperature changes. However, there is still the problem that the parameter setting of the first lumped model is difficult to obtain accurately.

[0004] Some literatures propose to improve the first method, adopting the method of training model parameters based on the experimental database, but the parameter identification and identification results of this method depend on the experimental Parameters, especially in the case of model simplification, require a large amount of experimental data for training the model, and cannot effectively deal with some time-varying parameters, resulting in rotor temperature estimation errors, and even estimated values ​​​​cannot converge under some working conditions

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