基于分时段模型的无刷直流电机仿人智能控制  

Human Simulated Intelligent Control of Brushless DC Motor Based on Time-varying Model

作　　者：刘成军[1] 薛方正[1] 李祖枢[1,2] 钟灶生[1] 敬成林[1] 

机构地区：[1]重庆大学智能自动化研究所,重庆400044 [2]重庆理工大学人工智能系统研究所,重庆400050

出　　处：《系统仿真学报》2011年第6期1098-1103,共6页Journal of System Simulation

基　　金：国家自然科学基金(60905053;60574076)

摘　　要：为抑制无刷直流电机转矩脉动,设计了基于分时段电机模型的仿人智能控制算法。分析了无刷电机的换相转矩脉动过程,由于转矩脉动将导致转速的波动,根据换相时转速的变化,建立了换相过程分时段电机模型,并结合仿人智能控制算法具有多模态控制的特点,对不同时段采取相应的控制模态,并利用改进的遗传算法对仿人智能控制器的参数进行整定,最终使转速波动减小,进而反映了转矩脉动的减小。仿真结果表明,提出的控制策略有效减小了转矩脉动,使控制系统具有良好的动态性能。A human simulated intelligent control（HSIC） scheme based on the model which was mutative according to period of time was proposed to minimize commutation torque ripple of brushless DC motor.The course of commutation torque ripple of brushless motor was analyzed.Since torque ripple would cause the speed fluctuation,the time-varying model was designed with the change of torque in course of commutation and various control method was proposed in different periods of time based on the characteristics of multi-mode of HSIC.The controller parameters were set and optimized using an improved genetic algorithm.The speed fluctuation was reduced ultimately,thus the decrease of torque ripple was reflected.Simulation results show that the proposed control strategy is effective to reduce the torque ripple and the control system has high dynamic performance.

关 键 词：无刷直流电机 分时段模型 转矩脉动 转速波动 仿人智能控制 遗传算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]