摘要
为实现永磁同步电机的状态在线估计,采用一种新型带有微分器的高阶滑模控制技术。由于系统输出耦合,利用反馈线性化进行解耦。设计了高阶滑模控制器消除传统滑模控制中的抖颤问题,状态估计中的滑模变量及其微分值通过任意阶精确滑模微分器得到,避免复杂计算同时保证了精度,同时电机状态的估计值可以替代用于检测的传感器。仿真实验结果表明,多输入多输出的永磁同步电机系统具有较好的动态性能,同时其状态变量得到了在线精确估计。
The state estimation problem of a permanent magnet synchronous motor （PMSM） is discussed via high order sliding mode with differentiator controller. For the output signals are coupled, feedback linearization is used to realize decoupling. The high order sliding mode control is designed to avoid chattering problem which exists in traditional sliding mode. Then in state estimation, the sliding mode variables and their derivatives are obtained by differentiator directly,which avoids the complex calculation and ensures precision. The extimation value can substitute sensors. The result of simulations indicates that the multi-input and multi-output （MIMO） nonlinear objective has better performance. Synchronously, the states values have been estimated online accuratly.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2009年第5期18-23,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金重大研究计划面上项目(90716026)
关键词
状态估计
高阶滑模控制
永磁同步电机
微分器
state estimation
high order sliding mode control
permanent magnet synchronous motor （PMSM）
differentiator
