Position sensorless adaptive positioning servo system based on DyCE principle with adaptive control input synthesis using convolutional integration for differential calculation
Position sensorless adaptive positioning servo system based on DyCE principle with adaptive control input synthesis using convolutional integration for differential calculation
复制标题
基于 DyCE 原理的无位置传感器自适应定位伺服系统，具有使用卷积积分进行微分计算的自适应控制输入合成
DOI：
10.1109/peds.2017.8289281
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
M. Hasegawa
中科院分区：
文献类型：
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作者：
Naoki Kawamura;M. Hasegawa
提出了一种无位置传感器控制内置式永磁同步电动机（IPMSM）伺服系统的自适应定位控制方法，该方法基于动态等效原理，采用卷积积分进行微分计算。自适应控制系统一般要求控制对象的传递函数具有严格的正真实的（SPR）特性，以实现稳定的参数辨识。该被控系统具有三个相对度，本文应用DyCE原理降低了相对度，实现了稳定的参数辨识。在这种方法中，控制输入综合需要对被控对象的可调参数进行二阶微分计算。本文还提出了二阶微分计算的控制器参数识别使用卷积积分的控制输入合成。最后，通过实验结果验证了该方法的可行性.
This paper proposes an adaptive positioning control of a servo system using a position sensorless controlled interior permanent magnet synchronous motor (IPMSM), in which the proposed adaptive system is based on Dynamic Certainty Equivalence (DyCE) principle using the convolutional integration for differential calculation. Generally, the adaptive control system requires strictly positive real (SPR) property for a certain transfer function of the control object for stable parameter identification. This controlled system has three relative degree, however this paper applies DyCE principle to reduce the relative degree, and to realize the stable parameter identification. In this approach, the control input synthesis requires the second-order differential calculation of the adjustable parameters of the controlled object. This paper also proposes the second-order differential calculation of the identified controller parameters using the convolutional integration for the control input synthesis. Finally, this paper also demonstrates the feasibility of the proposed method by some experimental results.