基于梯度算法的永磁伺服系统惯量辨识性能研究

为抑制惯量扰动对高性能伺服驱动系统性能的影响,系统应具有惯量辨识和控制器参数自整定的功能,而精准、快速地辨识出系统实时转动惯量值是其需要首先解决的关键技术.本文针对惯量辨识展开了研究,推导出永磁同步电机(PMSM)惯量辨识的梯度公式,并研究了影响惯量辨识收敛速度和精度的因素.通过仿真和实验表明,梯度算法用于永磁伺服系统...

Research on Inertia Identification Performance of Permanent Magnet Servo Systems Based on Gradient Algorithm

In order to suppress the influence of inertia disturbance on a high performance servo drive system, the system should possess the function of inertia identification and self-tuning of controller parameters. Among them, identifying the real-time inertia value accurately and rapidly should be solved first as the key. Research on inertia identification is conducted in this paper, which derives an inertia identification gradient formula of the permanent magnet synchronous motor (PMSM), and analyzes factors influencing the convergence time and precision of inertia identification. Simulation and experiments demonstrate that the gradient algorithm is effctive. The convergence time of identification is short and it can be limited to around five seconds.The shorter the period and the larger the given range of a given velocity, the better is the real-time property of inertia identification. This study can provide basis for the parameter self-tuning of the speed controller.