摘要
无刷直流电机(BLDCM)以其可靠性高、动态性能好等优越的性能,使其得到了广泛的应用;但在一些控制系统中,外加干扰、参数摄动等因素影响了系统的动、静态性能和鲁棒性。针对这一问题,提出将反演设计与自适应滑模变结构控制相结合的方法来控制无刷直流电机的速度控制器,从而实现对总的不确定性f的估计,使系统的不确定性具有鲁棒性。所用的控制算法提高系统的稳态跟踪精度,并且使整个的闭环系统满足期望的动静态性能指标。
Brushless DC motor （BLDCM） with its high reliability, good dynamic performance such as superior performance, which has been widely used. But in some control systems, external disturbance and parameter pertur-bation factors influence the system dynamic and static performance and robustness. In order to solve this problem, this topic proposed inversion design combined with the adaptive sliding mode variable structure control method, to control the speed of brushless DC motor （BLDCM） controller, to realize the estimate of the total uncertaintyf The uncertainty of the system is robust. Control algorithm is used in the steady-state tracking precision of the system, and makes the whole closed loop system to satisfy the desired dynamic and static performance.
出处
《科学技术与工程》
北大核心
2014年第2期104-107,共4页
Science Technology and Engineering
