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Modified complementary sliding mode control with disturbance compensation for permanent magnet linear synchronous motor servo system

机译:用于永磁线性同步电动机伺服系统的干扰补偿改造的互补滑模控制

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摘要

In this study, a modified complementary sliding mode control (MCSMC) method based on a disturbance force observer with mass identification (DFOB-MI) applicable to the permanent magnet linear synchronous motor is proposed to achieve high-performance servo control fields. MCSMC is an improvement on the complementary sliding mode control (CSMC) method, which incorporates an approach angle into the saturation function. MCSMC allows for asymptotic convergence of the position tracking errors and guarantees the global robustness of the system. In addition, compared to hybrid control strategies combining neural networks with CSMC, the MCSMC method has a simpler structure and faster response. However, in practical applications, the mass variation of the mover has a significant impact on system performance. To achieve better dynamic and static characteristics, a disturbance force observer capable of identifying the mass variation based on model reference adaptive identification theory is proposed. DFOB-MI can identify the mass of the mover and provide information on the disturbance caused by the change of the load. Thus, the compensation current is calculated to reduce the disturbance and realise compensation. The more accurate tracking performance and stronger robustness of the proposed control scheme compared to conventional approaches have been confirmed through comparative experimental studies.
机译:在该研究中,提出了一种基于适用于永磁线性同步电动机的扰动力观测器的改进的互补滑模控制(MCSMC)方法,以实现高性能伺服控制场。 McSMC是对互补滑模控制(CSMC)方法的改进,它将接近角度纳入饱和函数。 McSMC允许对位置跟踪错误的渐近融合,并保证系统的全局鲁棒性。另外,与组合神经网络与CSMC相结合的混合控制策略相比,MCSMC方法具有更简单的结构和更快的响应。然而,在实际应用中,移动器的质量变化对系统性能产生了重大影响。为了实现更好的动态和静态特性,提出了一种能够识别基于模型参考自适应识别理论的质量变化的干扰力观测器。 DFOB-MI可以识别移动器的质量,并提供有关负载变化引起的扰动的信息。因此,计算补偿电流以减少干扰并实现补偿。通过比较实验研究已经确认了与常规方法相比,所提出的控制方案的跟踪性能和更强的鲁棒性。

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