论文部分内容阅读
针对异步电机参数的精确估计问题,提出一种基于改进型人工蜂群(ABC)算法的估计方法.首先,在传统 ABC 算法基础上,将多引导策略融入到蜜源位置更新方程中,以此避免算法陷入局部最优.然后,在侦察蜂寻找新蜜源过程中,将全局最优蜜源分配给该侦察蜂,以此来提高收敛速度.最后,以转矩误差最小化为目标函数,基于提出的ABC算法在电机参数可能解空间中进行寻优,以此获得准确的电机参数.仿真结果表明,与现有其他估计方法相比,该方法能够精确且快速的估计出电机参数.“,”For the issue of accurate estimation of induction motor parameters, an estimation method based on the improved artificial bee colony (ABC) algorithm is proposed. Firstly, the multi-guide strategy is integrated into the honeycomb position update equation based on the traditional ABC algorithm so as to avoid the algorithm trapping into the local optimal. Then, in the process of finding a new source, the global optimal honey source is assigned to the reconnaissance bee, in order to improve the convergence rate. Finally, the torque function is minimized as the objective function, and the optimal solution is found in the solution space of the motor parameters by the proposed ABC algorithm. The simulation results show that the proposed method can accurately and quickly estimate the motor parameters compared with other existing estimation methods.