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Parameter identification method of asynchronous motor based on improved particle swarm optimization algorithm

A technology for improving particle swarms and asynchronous motors. It is applied in the estimation/correction of motor parameters, etc., and can solve the problems of inability to obtain the steady state and dynamic characteristics of asynchronous motors, poor parameter identification effect of asynchronous motors, and poor stability of measurement results. , to achieve the effect of fast optimization speed, high stability, and simplified update formula

Active Publication Date: 2017-07-14
FUZHOU UNIV
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Problems solved by technology

Among these methods, the least square method, genetic algorithm and other measurement results have poor stability, and the identification effect of the actual asynchronous motor parameters is poor, so that the asynchronous motor control system built on the basis of these parameters cannot achieve good control effects and cannot Obtain good steady-state and dynamic characteristics of asynchronous motors

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  • Parameter identification method of asynchronous motor based on improved particle swarm optimization algorithm
  • Parameter identification method of asynchronous motor based on improved particle swarm optimization algorithm
  • Parameter identification method of asynchronous motor based on improved particle swarm optimization algorithm

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Embodiment Construction

[0042] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

[0043] like figure 1 Schematic diagram of parameter identification of asynchronous motor using improved particle swarm optimization algorithm. By constructing the steady-state model of the three-phase asynchronous motor, the motor identification parameters obtained by the improved particle swarm optimization algorithm are substituted into the steady-state model, and then the fitting error is obtained by comparing with the operating characteristic values ​​obtained by the actual measurement. Optimization, and finally get the parameters of the asynchronous motor. The specific steps are as follows:

[0044] Step S1: First, establish a T-shaped equivalent circuit model of a three-phase asynchronous motor.

[0045] Further, the stator phase current and motor power factor of the asynchronous motor are selected as the measurement quantities for p...

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Abstract

The invention relates to a parameter identification method of an asynchronous motor based on an improved particle swarm optimization algorithm. Based on a standard particle swarm optimization algorithm, the maximum weighting coefficient (as the following formula) and the minimum weighting coefficient (as the following formula) are set in batches respectively; a random mutation operator is added, and the strategy of adding the mutation operator to perform random mutation on gbest improves the ability of the algorithm to jump out of local convergence, improves the problem of premature falling into local optimum of the particle swarm, expands the search scope of particles, improves the global searching ability and convergence speed of the particle swarm optimization algorithm, reduces the risk of falling into the local optimum, and takes both precision and efficiency of an optimization process into account. According to the parameter identification method of the asynchronous motor based on the improved particle swarm optimization algorithm provided by the invention, the measuring value of each working characteristic of the asynchronous motor is obtained by measuring, the improved particle swarm optimization algorithm is used to realize the static parameter identification of the asynchronous motor, and the method still has higher identification accuracy in the presence of noise.

Description

technical field [0001] The invention relates to the technical field of asynchronous motor parameter identification, in particular to an asynchronous motor parameter identification method based on an improved particle swarm optimization algorithm. Background technique [0002] Traditional asynchronous motor is a motor that has been widely used in various fields in recent years. It has the characteristics of simple results, easy manufacture, low price, reliable operation, sturdiness and durability, and high operating efficiency. Asynchronous motors are mainly used as motors to drive various production machinery. For example, in industry, it is used for various metal cutting machine tools, mining machinery, light power machinery, etc; Fans, air conditioners and refrigerator compressors, etc. Therefore, asynchronous motors have extensive application and research optimization value in various fields. Since the function of the working characteristics of the asynchronous motor o...

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Application Information

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IPC IPC(8): H02P23/14
CPCH02P23/14
Inventor 金涛刘页宗戈魏海斌
Owner FUZHOU UNIV
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