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标题：基于卡尔曼滤波的无刷电机转矩脉动抑制研究 |
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作者：宁建行，迟长春，陆彦青，等 |
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| 2016年第1期 访问次数：929次 |
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摘要：永磁无刷直流电机是一种机电一体化的高新技术产品，具有体积小、动态性能好和控制简单等优良特性。但噪声可叠加在指令上或反馈信号上进入伺服系统，增大无刷直流电机的转矩脉动。作为一种最优自回归数据处理算法，卡尔曼滤波器同时具备良好的滤波特性。因此文章在分析永磁无刷直流电动机数学模型的基础上，提出了一种基于卡尔曼滤波的无刷直流电机转矩脉动抑制方法。利用Matlab/Simulink对此方法进行了仿真，并与传统的PID控制方法进行了比较。结果表明了该方法可以有效地抑制无刷直流电机的转矩脉动，提高系统伺服性能。
关键词：永磁无刷直流电机；噪声；转矩脉动； Kalman滤波
Abstract: permanent magnet brushless DC motor, which has many good performances, such as small volume and reliable running, is a kind of electromechanical products. But noise disturbance can enter into the servo system by superimposing on the command signal or feedback signal, increasing the torque ripple of brushless DC motors. As an optimal autoregression data processing algorithm, Kalman filter also have a good filtering characteristic. To suppress torque ripple of brushless DC motor, a technology based on Kalman filter was proposed. The technology was simulated in Matlab/Simulink, and it is compared with the traditional PID control method. The results show that the technology is effective, and it can improve system servo performance.
Key words: permanent magnet brushless DC motor; noise disturbance; torque ripple; Kalman filter
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