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Induction motor state strong tracking filtering estimation method including parameter tracking

A technology of strong tracking filtering and induction motors, which is applied in the control of generators, motor generators, electronically commutated motors, etc. It can solve the problems of poor speed and flux linkage estimation performance, and the sudden state cannot be quickly and accurately tracked and estimated.

Active Publication Date: 2020-05-05
TIANJIN RES INST OF ELECTRIC SCI
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a method for estimating induction motor state strong tracking filtering including parameter tracking, which solves the poor performance of speed and flux linkage estimation caused by parameter changes and model uncertainty of induction motors, especially For the problem that the sudden state cannot be tracked quickly and accurately and the estimation accuracy is low when running at low speed, improve the state estimation accuracy and algorithm robustness

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  • Induction motor state strong tracking filtering estimation method including parameter tracking
  • Induction motor state strong tracking filtering estimation method including parameter tracking
  • Induction motor state strong tracking filtering estimation method including parameter tracking

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Embodiment Construction

[0085] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0086] Design idea of ​​the present invention is:

[0087] The invention adopts a strong tracking filter method including particle swarm optimization iterative learning parameter tracking to realize the joint estimation function of induction motor speed and rotor flux linkage. exist figure 1 The field-oriented vector control system of induction motors including parameter tracking STF algorithm shown includes two parts: PSO parameter tracking and STF state estimation: (1) In the part of PSO parameter tracking, considering the parameter changes and model uncertainty of induction motors, construct The identified model with the same structure as the motor dynamic model takes the integral of the weighted sum of squared output residuals of the controlled model and the identification model as the optimization index, and uses the PSO iterative learnin...

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Abstract

The invention relates to an induction motor state strong tracking filtering estimation method including parameter tracking. The method is characterized in that a PSO iterative learning dynamic optimization algorithm is adopted to track induction motor parameters on line; and an STF algorithm is adopted to jointly estimate the rotating speed of the induction motor and the rotor flux linkage. According to the invention, the strong tracking filtering estimation algorithm containing parameter tracking is adopted to carry out joint estimation on the rotating speed of the induction motor and the rotor flux linkage; high-performance estimation of the rotating speed of the induction motor and the rotor flux linkage can be effectively realized; compare with EKF, the STF algorithm including parameter tracking is more excellent in estimation precision, tracking speed and stability; moreover, the abrupt change state can be quickly tracked, and particularly, relatively good estimation performance can still be kept in a low-speed section; the state estimation precision and the algorithm robustness are effectively improved; and a foundation is laid for realizing speed-sensor-free high-performancevector control of the induction motor.

Description

technical field [0001] The invention belongs to the technical field of motor control and state estimation, in particular to an induction motor state strong tracking filter estimation method including parameter tracking. Background technique [0002] In the high-performance vector control system of induction motors, the rotor field-oriented vector control can realize the decoupling control function of torque and flux linkage. It has superior dynamic performance and is currently the most widely used control method. The closed-loop control of rotational speed and flux linkage is the key to realize accurate orientation of the magnetic field and high-performance speed control. Strong model robustness. With the continuous improvement of high-performance vector control and the development of speed sensorless fault-tolerant control technology, how to quickly and accurately obtain the speed and flux information of induction motors, improve the speed estimation accuracy and flux obse...

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Application Information

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IPC IPC(8): H02P21/14H02P21/18
CPCH02P21/141H02P21/18
Inventor 张中磊姜一达王自满孙传杰杨敬然李楠田凯
Owner TIANJIN RES INST OF ELECTRIC SCI
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