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A Parameter Identification Method of Permanent Magnet Synchronous Motor Based on Improved Salp Swarm Algorithm

A permanent magnet synchronous motor, parameter identification technology, applied in the control of generator, motor control, motor generator control and other directions, can solve the problems of slow convergence speed, lack of parameter identification of permanent magnet synchronous motor, easy to fall into local optimum, etc. The effect of improving convergence accuracy, improving local development capabilities, and improving global development capabilities

Active Publication Date: 2022-04-01
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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  • A Parameter Identification Method of Permanent Magnet Synchronous Motor Based on Improved Salp Swarm Algorithm
  • A Parameter Identification Method of Permanent Magnet Synchronous Motor Based on Improved Salp Swarm Algorithm
  • A Parameter Identification Method of Permanent Magnet Synchronous Motor Based on Improved Salp Swarm Algorithm

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[0063] 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.

[0064] 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.

[0065] 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 the improved salp group algorithm, which comprises the following steps: initializing relevant parameters, and randomly initializing each group of parameter vectors within the parameter identification range; calculating each group of parameter vectors according to the fitness function The identification degree of the parameter vector, the parameter vector with the highest identification degree is defined as the optimal parameter F; the first set of parameters is updated according to the formula; the following parameters are updated by the normal cloud model formula; the parameter vector exceeding the identification range is corrected; according to the current parameter vector Recalculate its corresponding recognition degree and update the optimal parameter F. The invention obtains the dq-axis voltage, current and angular velocity of the permanent magnet synchronous motor through measurement, and uses the improved salp group algorithm to quickly, stably and accurately identify the parameters of the permanent magnet synchronous motor.

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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Patent Type & Authority Patents(China)
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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