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基于RBF神经网络辨识的单神经元PID模型参考自适应控制 -Based on RBF Neural Network Identification of single neuron PID model reference adaptive control based on RBF Neural Network Identification of single neuron PID model reference adaptive control
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In most modern engineering systems, there is a need to control the evolution with
time of one or more of the system variables. Controllers are required to ensure
satisfactory transient and steady-state behavior for these engineering systems. To
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Abstract—In this paper a current reference generation
method for a voltage source shunt active power filter is
examined. The proposed method improves the harmonic
filtering by compensating the delays in the system. In
stationary operating poi
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：针对电动汽车永磁同步电机无位置传感器控制系统，在两相静止坐标系( —B)内将滑模观测器法
与MRAS结合，提出了基于模型参考自适应的滑模观测器，并利用自适应律估计永磁同步电机的转子速度。仿真
和试验表明无位置传感器控制方法是切实可行的。
关键词：电动汽车永磁同步电机无位置传感器控制 自适应滑模观测器-This paper presents a new adaptive slid—mode observer for electric vehicle permanent magnet
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高级数据链路控制规程HDLC,数据链路层是OSI参考模型的第二层，它在物理层提供的通信接口与电路连接服务的基础上，将易出错的数据电路构筑成相对无差错的数据链路，以确保DTE与DTE之间、DTE与网络之间有效、可靠地传送数据信息。-High-Level Data Link Control protocols HDLC, Data link layer is a second layer of the OSI reference model, which provides the physical
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本模型模拟微电网分布式电源并网运行模式，电源采用理想直流电压源代替，逆变器采用PQ控制，包括P/Q外环控制器和电流的内环控制器，对于储能、风机、光伏等分布式电源的并网运行具有很高的参考价值，模型可运行，仿真结果稳定可靠。(This model to simulate the micro grid distributed power grid operation mode, the power supply adopts the ideal dc voltage source to replace
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