摘要
提出了简化的参考模型逆线性二次型(MR-ILQ)最优电流控制。为了解决MR-ILQ最优电流控制存在的电机低速运行不平稳、运行噪声大等问题,设计了扩展卡尔曼滤波器(EKF),构成基于EKF的MRILQ最优电流控制器。针对EKF拥有适于克服电机模型的不确定性和非线性、估计性能优越、抗噪能力强等优点,将其与MR-ILQ最优电流控制器相结合,所构成的新控制器兼有两种算法的优点。研究结果表明,基于EKF的MR-ILQ最优电流控制器能够有效地解决电机低速运行不平稳、运行噪声大等问题,同时也具有较强的鲁棒稳定性和跟踪性能,保证了电机的平稳运行,工业实用价值高。
A simplified model reference inverse linear quadratic optimal current controller was put forward, in order to solve the problems of low speed running of motor and large noise in MR-ILQ optimal current control, an extended Caiman filter was designed, which was used to constitute the MR-ILQ optimal current controller based on the extended Caiman filter. Aiming at the EKF had the advantages of overcoming the uncertainty and nonlinear of motor model, excellent estimation performance, strong anti noise ability and so on, combining EKF with MR-ILQ optimal current controller, the new controller had all the advantages of the two algorithms at the same time. The research results showed that the MR-ILQ optimal current controller based on EKF could effectively solve the problems of low speed running and high noise of the motor. At the same time, it also had a strong robust stability and tracking, to ensure the smooth running of the motor, as well as high practical value in the field of motor control.
出处
《电机与控制应用》
北大核心
2016年第12期6-10,共5页
Electric machines & control application
基金
国家自然科学基金面上项目(11372198)
河北省教育厅科学技术重点项目(Z9900451)
关键词
永磁同步电机
参考模型逆线性二次型
扩展卡尔曼滤波器
最优电流控制
permanent magnet synchronous motor （PMSM）
model reference inverse linear quadratic （MR-ILQ）
extended kalman filter（EKF）
optimal current control
