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首页> 外文期刊>IEE Proceedings. Part B, Electric Power Applications >Nonlinear speed control for a PM synchronous motor with a sequential parameter auto-tuning algorithm
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Nonlinear speed control for a PM synchronous motor with a sequential parameter auto-tuning algorithm

机译:基于序贯参数自动调整算法的永磁同步电机非线性速度控制

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摘要

A nonlinear speed control for a permanent magnet (PM) synchronous motor with a simple sequential parameter auto-tuning algorithm is presented. The nonlinear control scheme gives an undesirable output performance under the mismatch of the system parameters and load conditions. Recently, to improve the control performance, an adaptive linearisation, a nonlinear sliding mode control and an observer-based technique have been reported. However, these schemes are based on the assumption that a variation of an unknown disturbance is very small during each sampling interval. Even though good performance can be obtained, the performance is no longer satisfactory under specific conditions such as a large inertia variation, a fast speed transient or an increased sampling time. Although various work that effectively estimates only the specific interested parameter of motors can be found in the literature, the simultaneous estimation of principal parameters that give a direct influence on speed dynamics is generally not simple. To overcome this problem, a sequential parameter auto-tuning algorithm at startup is proposed in which dominant motor parameters are estimated in a prescribed sequential routine, one by one. The proposed control scheme is implemented on a PM synchronous motor using DSP TMS320C31 and the effectiveness is verified through simulation and experiment.
机译:提出了一种具有简单序列参数自动调整算法的永磁同步电机非线性速度控制方法。在系统参数和负载条件不匹配的情况下,非线性控制方案会产生不良的输出性能。最近,为了改善控制性能,已经报道了自适应线性化,非线性滑模控制和基于观察者的技术。但是,这些方案基于这样的假设:在每个采样间隔内,未知干扰的变化非常小。即使可以获得良好的性能,在特定条件下,例如较大的惯性变化,快速的瞬变或增加的采样时间,性能也不再令人满意。尽管可以在文献中找到仅有效地估计电动机的特定感兴趣参数的各种工作,但是同时估计直接影响速度动态的主要参数通常并不简单。为了克服这个问题,提出了一种启动时的顺序参数自动整定算法,其中在规定的顺序程序中,一个接一个地估计主要的电动机参数。通过DSP TMS320C31在永磁同步电机上实现了该控制方案,并通过仿真和实验验证了其有效性。

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