Permanent magnet synchronous motor parameter identification method based on improved salp swarm algorithm

A permanent magnet synchronous motor and salp group technology, which is applied in motor control, generator control, motor generator control, etc., can solve the problems of lack of parameter identification of permanent magnet synchronous motors, easy to fall into local optimum, slow convergence speed, etc.

Active Publication Date: 2020-10-23
HUNAN UNIV OF SCI & TECH
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Problems solved by technology

Mirjalili proposed the salp group algorithm in 2017. This algorithm has advantages in solving most optimization problems, but it still has the disadvantages of slow convergence and easy to fall into local optimum, especially when solving compound problems. Therefore, for permanent magnet Synchronous motor parameter identification is still lacking

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  • Permanent magnet synchronous motor parameter identification method based on improved salp swarm algorithm
  • Permanent magnet synchronous motor parameter identification method based on improved salp swarm algorithm
  • Permanent magnet synchronous motor parameter identification method based on improved salp swarm algorithm

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Embodiment Construction

[0064] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0065] figure 1 For the parameter identification model of permanent magnet synchronous motor using the improved salp swarm algorithm, the left half collects the required data, and the right half is the identification module.

[0066] figure 2 It is the schematic diagram of parameter identification of permanent magnet synchronous motor using improved salp group algorithm. The motor identification parameters obtained by the improved salp group optimization algorithm ar...

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Abstract

The invention discloses a permanent magnet synchronous motor parameter identification method based on an improved salp swarm algorithm, and the method comprises the following steps: initializing related parameters, and randomly initializing each group of parameter vectors in a parameter identification range; calculating the identification degree of each group of parameter vectors according to thefitness function, and defining the parameter vector with the highest identification degree as an optimal parameter F; updating the first group of parameters according to a formula; updating the following parameters through a normal cloud model formula; correcting the parameter vectors exceeding the identification range; and recalculating the corresponding identification degree according to the current parameter vector, and updating the optimal parameter F. According to the method, the dq-axis voltage, current and angular velocity of the permanent magnet synchronous motor are obtained through measurement, and parameters of the permanent magnet synchronous motor can be quickly, stably and accurately identified by utilizing an improved salp swarm algorithm.

Description

technical field [0001] The invention relates to the technical field of permanent magnet synchronous motors, in particular to a method for identifying parameters of permanent magnet synchronous motors based on an improved salp swarm algorithm. Background technique [0002] Due to the advantages of high power density and fast dynamic response, permanent magnet synchronous motors have been widely used in servo systems and other industrial fields. The realization of a high-performance permanent magnet synchronous motor control system depends on accurate motor parameters, but because motor parameters such as stator resistance, inductance, and permanent magnet flux linkage are easily affected by factors such as temperature, stator current, and magnetic saturation, the performance of motor control is degraded , the reliability and dynamic and static performance of the system are reduced. Therefore, in order to obtain a high-performance permanent magnet synchronous motor control sy...

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Application Information

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IPC IPC(8): H02P21/14H02P6/34G06F17/15G06F17/11G06N3/00
CPCH02P21/14H02P6/34G06F17/15G06F17/11G06N3/006H02P2207/05
Inventor 张铸张仕杰饶盛华王静袁
Owner HUNAN UNIV OF SCI & TECH
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