二维云模型在线优化永磁同步电机无传感器电压模型控制

提出一种基于二维云模型在线优化智能PID的永磁同步电机无传感器电压模型控制算法。在虚拟γ-δ旋转坐标系下利用实际电压值与理想电压值之差对电机转速误差进行实时校正,获取到相对准确的电机转速以及转子位置估计。同时,设计了一种具有参数动态实时自整定功能的智能PID对上述电压模型控制中的转速、电流进行实时调节。通过引入混沌粒子群算法离线优化控制参数,使整个控制系统处于优化状态,再利用二维云模型在线调节模块对其实时整定。实验结果表明,该控制算法能够准确估计出电机转速以及转子位置,对电机内部参数摄动以及外部负载扰动具有较强的鲁棒性。

Sensorless Voltage Model Control of Permanent Magnet Synchronous Motor Based on Two-Dimensional Cloud Model Online Optimization

A sensorless voltage model control algorithm for permanent magnet synchronous motor (PMSM) is proposed,and it is based on intelligent PID (IPID) of two-dimensional cloud model online optimization.In order to obtain a relatively accurate motor speed and rotor position estimation,in virtualγ-δ rotating coordinate system,real-time correction of motor speed error is made by the difference between actual and ideal voltage value.Meanwhile,a kind of IPID with parameter dynamic real-time self-tuning function is designed to adjust the speed and current in voltage model control.By introducing the chaos particle swarm optimization algorithm to optimize the control parameters off-line,the whole control system is in the optimized state,then the two-dimensional cloud model online adjustment module is used to do real-time tuning.The experimental results show the new control algorithm proposed in this paper can accurately estimate the motor speed and rotor position,and it has strong robustness to motor internal parameter perturbation and external load disturbance.