Research on Parameter Identification Method of Asynchronous Motor Considering Load Characteristics

Abstract

Aiming at the problem that the existing asynchronous motor parameter identification method only identifies the parameters of the motor itself, ignoring the parameters of the asynchronous motor load, this paper proposes a particle swarm optimization algorithm combined with spatial disturbance to realize the integrated parameter identification of the asynchronous motor, machine and pump. On the premise of identifying the parameters of the asynchronous motor itself, the load parameters of the pump are identified, and the improved particle swarm optimization algorithm is used to realize the integrated identification of the asynchronous motor and the load. By combining the particle swarm optimization algorithm (PSO) and the spatial disturbance (SD), the six equivalent parameters of the asynchronous motor and the pump load factor can be accurately and effectively identified. Compared with the traditional PSO algorithm, the global search method is increased. Excellent ability. An example proves the effectiveness of the algorithm.