A particle swarm optimization algorithm for rotational torque fitting of three-phase asynchronous motor

In order to solve the rotational torque curve fitting problem of three-phase asynchronous motor, an on-line fitting algorithm based on particle swarm optimization is designed. Firstly, the rotational torque model of three-phase asynchronous motor is established by using the Taylor-polynomial model. Secondly, through the particle swarm optimization algorithm and the polynomial evaluation function, the order of optimal fitting is solved and the online fitting is realized. Finally, the algorithm is applied actually in motor industry through Visual Studio platform, and shows that it is effective.