改进人工蜂群算法在飞轮电机控制中的应用  

Application of Improved Artificial Bee Colony Algorithm in Control of Flywheel System Motor

作　　者：毕文骏 

机构地区：[1]西南交通大学,成都610031

出　　处：《微特电机》2015年第9期55-58,共4页Small & Special Electrical Machines

基　　金：国家自然科学基金项目(51177137)

摘　　要：飞轮储能系统中,电机采用转速-电流双闭环控制系统。针对系统中转速环PID控制器参数难以整定的问题,引入自适应系数的改进人工蜂群算法应用于PID控制器参数整定,在不牺牲算法的全局寻优能力的同时,提高其收敛速度与精度,协调了算法的全局搜索能力与特定区域寻优能力。仿真结果表明,相比其他算法,改进人工蜂群算法优化的PID控制器具有更好的全局寻优能力以及更快的收敛速度。In the flywheel energy storage system, the motor adopts the speed ＆ current double closed-loop control system. Aiming at the problem that the parameters of PID controller are difficult to be adjusted, the artificial bee colony algorithm of adaptive（A-ABC） coefficient was applied to the tuning of PID controller. A-ABC algorithm can effectively coordinate the global search ability and specific region search ability of the algorithm. The simulation results show that the optimized PID controller has better global optimization ability and faster convergence speed compared with other algorithms.

关 键 词：人工蜂群算法 自适应 飞轮储能系统 PID控制器 参数优化 

分 类 号：TM33[电气工程—电机]