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Model-Based Fault Detection for an Actuator Driven by a Brushless Dc Motor

机译:由无刷直流电机驱动的致动器的基于模型的故障检测

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A real time fault detection approach for a brushless DC motor driving a mechanical actuation system is presented. The brushless DC motor is controlled by a PWM inverter using rectangular current excitation. After an introduction into faultdetection with parameter estimation and parity equations, a mathematical model for the actuator with special emphasis on the motor itself is derived. The application of the estimation algorithm to detect electrical and mechanical parameter changes in themotor is described. In addition parity equations are used to detect sensor offsets. The fault detection scheme is implemented on a digital signal processor controlling the actuator. Finally experimental results are given.
机译:提出了一种驾驶机械致动系统的无刷直流电动机的实时故障检测方法。无刷直流电机由使用矩形电流激励的PWM逆变器控制。在使用参数估计和奇偶校验方程中引入故障后,导出了具有特殊强调电动机本身的执行器的数学模型。描述了估计算法检测主机中的电气和机械参数变化的应用。此外,奇偶校验方程用于检测传感器偏移。故障检测方案在控制致动器的数字信号处理器上实现。最后给出了实验结果。

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