Least square method-based extended Kalman filter rotating speed estimation method of asynchronous motor

A technology of extended Kalman and least square method, which is applied in the field of speed estimation of asynchronous motor with extended Kalman filter based on least square method, and can solve the problem of large error of EKF speed estimation

Inactive Publication Date: 2016-12-21
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for estimating the rotational speed of asynchronous motors with extended Kalman filter based on the least squares method, which solves the problem that the existing EKF rotational speed estimation error is relatively large

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  • Least square method-based extended Kalman filter rotating speed estimation method of asynchronous motor
  • Least square method-based extended Kalman filter rotating speed estimation method of asynchronous motor
  • Least square method-based extended Kalman filter rotating speed estimation method of asynchronous motor

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Embodiment Construction

[0076] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0077] The present invention is based on the method of estimating the rotational speed of the extended Kalman filter asynchronous motor based on the least square method, and adopts a vector control system, such as figure 1 As shown, the system adopts 3 PI regulators to form a double closed-loop AC speed regulation system with speed and current feedback control. The output of the outer speed loop PI regulator is used as the input of the torque current PI regulator, and the current regulator is used. Output to control the power electronic converter.

[0078] The current detection circuit 3 detects the three-phase current of the motor in the three-phase static coordinate system through the Hall sensor, and is converted into the current value i in the static two-phase coordinate system through Clark transformation (3r / 2s) 4 sα , I sβ , And then change the given spee...

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Abstract

The invention discloses a least square method-based extended Kalman filter rotating speed estimation method of an asynchronous motor. The method is specifically implemented according to the following steps of (1) solving a fading factor by use of a least square method, obtaining an optimized fading factor determining algorithm, adaptively adjusting an estimation error in real time and quickly tracking a state change; (2) introducing the fading factor into a state prediction covariance matrix of a traditional extended Kalman filter, building a strong tracking extended kalman filter, adjusting a gain matrix online in real time and compelling output residual sequences to be kept mutually orthogonal; and (3) building the least square method-based strong tracking extended kalman filter digitization system under an alpha-beta shaft system of an induction motor and carrying out rotating speed estimation. By the rotating speed estimation method disclosed by the invention, the adaptability of a system model on an actual system and an external environment change is improved; the steady accuracy and the gross error resistance of the system are improved and the system is faster in convergence in a disturbance.

Description

Technical field [0001] The invention belongs to the technical field of asynchronous motor control, and specifically relates to a method for estimating the rotational speed of an asynchronous motor based on an extended Kalman filter based on a least square method. Background technique [0002] In the field of modern motor control technology, asynchronous motor vector control technology has been widely used. Because the use of speed sensors destroys the advantages of asynchronous motors that are simple, reliable, low cost, and convenient for maintenance, it also limits their application scope and reduces the robustness of the system. Therefore, speed sensorless control has not only become modern AC drive control An important research direction of technology, but also a key technology for studying high-performance general-purpose inverters. At present, scholars at home and abroad have conducted a lot of research on speed sensorless control technology, and proposed many practical an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/18
Inventor 尹忠刚李国银孙向东钟彦儒
Owner XIAN UNIV OF TECH
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