A Parameter Identification Method of Asynchronous Motor Based on Improved Particle Swarm Optimization Algorithm

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] The traditional asynchronous motor is a kind of motor that is still widely used in various fields in recent years. It has the characteristics of simple structure, easy manufacture, low price, reliable operation, sturdy and durable, 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 work machinery, etc.; Compressors for fans, air conditioners and refrigerators, etc. Therefore, asynchronous motors have a wide range of applications and research and optimization values ​​in various fields. Since the slip function of the asynchronous motor's...

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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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