摘要
蒙特卡罗粒子滤波在许多非线性非高斯问题中取得了成功的应用。针对永磁直线同步电机(PMLSM)的特点,将蒙特卡罗粒子滤波算法引入到PMLSM无传感器速度和位置估计中。用易于检测的电机端电压和端电流作为输入信号,采用粒子滤波算法实时地估计PMLSM的速度和磁极位置,得到矢量控制系统速度反馈信号和矢量变换角度。仿真结果表明,估计算法既具有较高的估计精度又具有相对少的计算量,可以满足PMLSM伺服系统无传感器控制需要。
Monte Carlo particle filter （MCPF） has been successfully applied in many nonlinear and non- Gauss problems. For sensorless control of permanent magnet linear synchronous motor （PMLSM）, MCPF was applied to estimate the speed and flux angle. Measured line currents and terminal voltages were used to estimate the speed and flux angle according to the MCPF algorithm at real time, which can provide speed feedback and vector transform angle for PMLSM vector control system. The simulating results show that the proposed sensorless algorithm is characteristic of high identification accuracy and low compute jobs. And the proposed control method can achieve high speed tracking power.
出处
《电气传动》
北大核心
2009年第7期46-48,52,共4页
Electric Drive
关键词
永磁直线同步电机
无传感器
蒙特卡罗粒子滤波
permanent magnet linear synchronous motor
sensorless
Monte Carlo particle filter
