摘要
由于在直接转矩控制系统中异步电机的转矩并非恒定;且源于控制系统的速度环输出没有对电机转矩进行解耦,并不能明确地知道给定转矩和实际转矩的关系。为获得优良的控制品质,在直接转矩控制的基础上,使用模糊逻辑控制器,把速度调节与直接转矩控制中的施密特触发器阈值相联系,减少开关元件的动作次数;采用具有自学习功能的控制器作为控制系统的速度调节器,借助其自学习功能,控制器不断地修改隶属函数参数以适应实际工况,实现非线性P ID控制器参数的实时优化调整,直到系统性能达到预期要求为止。与传统的控制器相比,它可以在一定程度上提高系统的动态控制性能。
We can not know the exact relationship between given and real torque, not only because in direct torque control system asynchronous motor＇ torque isn＇t constant but also because the output of speed loop have not uncoupled motor torque. To get good control performance, this paper adopts fuzzy logic con troller to reduce the times of action of switches by combining speed adjust with valve of smith trigger, and uses self learning controller as speed adjuster in the control system which can continually modify the parameters of membership function online in real time and optimize the parameters of nonlinear PID controller until the system performance is fit of expectation requirement, depending on the self learning function, Compared with traditional controller, it can promote the dynamic performance of the system.
出处
《电气传动》
北大核心
2006年第3期26-28,共3页
Electric Drive
关键词
模糊估计器
自学习控制器
调速系统
直接转矩控制
fuzzy estimator self-learning controller speed regulating system direct torque control
