摘要
无轴承异步电机具有多变量、非线性、强耦合的特点。针对传统SVM-DTC系统中采用双PI控制器来生成参考电压矢量存在着PI参数难以随着系统的动态运行而实时变化的问题,提出了一种基于模糊自适应控制(FAC)的无轴承异步电机的SVM-DTC控制策略。通过模糊控制算法得到磁链和转矩的控制电压分量,实现了两个电压矢量的实时调整。文中给出了产生磁链和转矩参考电压矢量的模糊自适应控制器的设计过程。利用Matlab/Simulink仿真软件,分别建立基于模糊自适应控制的SVM-DTC和传统SVM-DTC控制系统模型。仿真结果表明,改进后的算法可以更好地抑制转矩、磁链的脉动及转速超调,提高系统的动态性能。最后用TI公司的DSP2812为控制器进行试验,试验结果表明基于模糊自适应方法的无轴承异步电机的SVM-DTC控制系统可以实现稳定悬浮。
The Bearingless Induction Motor was a multi-variable nonlinear system with significant coupling.The parameters of PI controller which generating the reference voltage vector in conventional SVM-DTC were difficult to determine the dynamic operation.In order to improve away the disadvantages of conventional SVM-DTC system,flux and torque fuzzy adaptive controller（FAC） were designed to substitute the original flux and torque PI controller in the controlling for bearingless induction motor using space vector pulse width modulation.With the fuzzy algorithm,it was easy to obtain the control voltage component of the flux and torque respectively.Two voltage vectors to achieve real-time adjustments and solve the disturbance problems in torque loop and flux loop.In this paper,the design process of the fuzzy adaptive controller was given.Useing Matlab/Simulink to check the improved and traditional SVM-DTC method.The results show that the improved algorithms have a better performance in reducing the ripple of torque,flux and Rotor displacement when compared with the tradition DTC method.And it also improves the system dynamic performance.
出处
《自动化与仪表》
北大核心
2011年第11期31-36,共6页
Automation & Instrumentation
基金
江苏省自然科学基金项目(BK2008233)
