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A novel hybrid control approach for modular automation system: a case study of sensorless interior permanent magnet in-wheel motor

机译:模块化自动化系统的新型混合控制方法:无传感器内部永磁轮毂电机的案例研究

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Purpose Sensorless interior permanent magnet in-wheel motor (IPMIWM), as an exemplar of modular automation system, has attracted considerable interests in recent years. This paper aims to investigate a novel hybrid control approach for the sensorless IPMIWM from a cyber-physical systems (CPS) perspective. Design/methodology/approach The control approach is presented based on the hybrid dynamical theory. In the standstill-low (S-L) speed, the rotor position/speed signal is estimated by the method of the high frequency (HF) voltage signal injection. The least square support vector machine (LS-SVM) is used to acquire the rotor position/speed signal in medium-high (M-H) speed operation. Hybrid automata model of the IPMIWM is established due to its hybrid dynamic characteristics in wide speed range. A hybrid state observer (HSO), including a discrete state observer (DSO) and a continuous state observer (CSO), is designed for rotor position/speed estimation of the IPMIWM. Findings The hardware-in-the-loop testing based on dSPACE is carried out on the test bench. Experimental investigations demonstrate the hybrid control approach can not only identify the rotor position/speed signal with a certain load but also be able to reject the load disturbance. The reliability and the effectiveness of the proposed hybrid control approach were verified. Originality/value The proposed hybrid control approach for the sensorless IPMIWM promotes the deep combination and coordination of sensorless IPMIWM drive system. It also theoretically supports and extends the development of the hybrid control of the highly integrated modular automation system.
机译:目的作为模块化自动化系统的示例,无传感器内部永磁式轮毂电动机(IPMIWM)近年来引起了人们的极大兴趣。本文旨在从网络物理系统(CPS)的角度研究一种针对无传感器IPMIWM的新型混合控制方法。设计/方法/方法基于混合动力理论,提出了控制方法。在低速(S-L)速度下,通过高频(HF)电压信号注入方法估算转子位置/速度信号。最小二乘支持向量机(LS-SVM)用于在中高速(M-H)速度运行中获取转子位置/速度信号。由于IPMIWM在宽速度范围内具有混合动力特性,因此建立了混合自动机模型。包括离散状态观测器(DSO)和连续状态观测器(CSO)的混合状态观测器(HSO)设计用于IPMIWM的转子位置/速度估算。结果基于dSPACE的硬件在环测试是在测试台上进行的。实验研究表明,混合控制方法不仅可以识别具有一定负载的转子位置/速度信号,还可以抑制负载干扰。验证了所提混合控制方法的可靠性和有效性。独创性/价值针对无传感器IPMIWM提出的混合控制方法促进了无传感器IPMIWM驱动系统的深度组合和协调。从理论上讲,它还支持并扩展了高度集成的模块化自动化系统的混合控制的开发。

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